generative ai

music-industry-giants-allege-mass-copyright-violation-by-ai-firms

Music industry giants allege mass copyright violation by AI firms

No one wants to be defeated —

Suno and Udio could face damages of up to $150,000 per song allegedly infringed.

Michael Jackson in concert, 1986. Sony Music owns a large portion of publishing rights to Jackson's music.

Enlarge / Michael Jackson in concert, 1986. Sony Music owns a large portion of publishing rights to Jackson’s music.

Universal Music Group, Sony Music, and Warner Records have sued AI music-synthesis companies Udio and Suno for allegedly committing mass copyright infringement by using recordings owned by the labels to train music-generating AI models, reports Reuters. Udio and Suno can generate novel song recordings based on text-based descriptions of music (i.e., “a dubstep song about Linus Torvalds”).

The lawsuits, filed in federal courts in New York and Massachusetts, claim that the AI companies’ use of copyrighted material to train their systems could lead to AI-generated music that directly competes with and potentially devalues the work of human artists.

Like other generative AI models, both Udio and Suno (which we covered separately in April) rely on a broad selection of existing human-created artworks that teach a neural network the relationship between words in a written prompt and styles of music. The record labels correctly note that these companies have been deliberately vague about the sources of their training data.

Until generative AI models hit the mainstream in 2022, it was common practice in machine learning to scrape and use copyrighted information without seeking permission to do so. But now that the applications of those technologies have become commercial products themselves, rightsholders have come knocking to collect. In the case of Udio and Suno, the record labels are seeking statutory damages of up to $150,000 per song used in training.

In the lawsuit, the record labels cite specific examples of AI-generated content that allegedly re-creates elements of well-known songs, including The Temptations’ “My Girl,” Mariah Carey’s “All I Want for Christmas Is You,” and James Brown’s “I Got You (I Feel Good).” It also claims the music-synthesis models can produce vocals resembling those of famous artists, such as Michael Jackson and Bruce Springsteen.

Reuters claims it’s the first instance of lawsuits specifically targeting music-generating AI, but music companies and artists alike have been gearing up to deal with challenges the technology may pose for some time.

In May, Sony Music sent warning letters to over 700 AI companies (including OpenAI, Microsoft, Google, Suno, and Udio) and music-streaming services that prohibited any AI researchers from using its music to train AI models. In April, over 200 musical artists signed an open letter that called on AI companies to stop using AI to “devalue the rights of human artists.” And last November, Universal Music filed a copyright infringement lawsuit against Anthropic for allegedly including artists’ lyrics in its Claude LLM training data.

Similar to The New York Times’ lawsuit against OpenAI over the use of training data, the outcome of the record labels’ new suit could have deep implications for the future development of generative AI in creative fields, including requiring companies to license all musical training data used in creating music-synthesis models.

Compulsory licenses for AI training data could make AI model development economically impractical for small startups like Udio and Suno—and judging by the aforementioned open letter, many musical artists may applaud that potential outcome. But such a development would not preclude major labels from eventually developing their own AI music generators themselves, allowing only large corporations with deep pockets to control generative music tools for the foreseeable future.

Music industry giants allege mass copyright violation by AI firms Read More »

apple-intelligence-and-other-features-won’t-launch-in-the-eu-this-year

Apple Intelligence and other features won’t launch in the EU this year

DMA —

iPhone Mirroring and SharePlay screen sharing will also skip the EU for now.

A photo of a hand holding an iPhone running the Image Playground experience in iOS 18

Enlarge / Features like Image Playground won’t arrive in Europe at the same time as other regions.

Apple

Three major features in iOS 18 and macOS Sequoia will not be available to European users this fall, Apple says. They include iPhone screen mirroring on the Mac, SharePlay screen sharing, and the entire Apple Intelligence suite of generative AI features.

In a statement sent to Financial Times, The Verge, and others, Apple says this decision is related to the European Union’s Digital Markets Act (DMA). Here’s the full statement, which was attributed to Apple spokesperson Fred Sainz:

Two weeks ago, Apple unveiled hundreds of new features that we are excited to bring to our users around the world. We are highly motivated to make these technologies accessible to all users. However, due to the regulatory uncertainties brought about by the Digital Markets Act (DMA), we do not believe that we will be able to roll out three of these features — iPhone Mirroring, SharePlay Screen Sharing enhancements, and Apple Intelligence — to our EU users this year.

Specifically, we are concerned that the interoperability requirements of the DMA could force us to compromise the integrity of our products in ways that risk user privacy and data security. We are committed to collaborating with the European Commission in an attempt to find a solution that would enable us to deliver these features to our EU customers without compromising their safety.

It is unclear from Apple’s statement precisely which aspects of the DMA may have led to this decision. It could be that Apple is concerned that it would be required to give competitors like Microsoft or Google access to user data collected for Apple Intelligence features and beyond, but we’re not sure.

This is not the first recent and major divergence between functionality and features for Apple devices in the EU versus other regions. Because of EU regulations, Apple opened up iOS to third-party app stores in Europe, but not in other regions. However, critics argued its compliance with that requirement was lukewarm at best, as it came with a set of restrictions and changes to how app developers could monetize their apps on the platform should they use those other storefronts.

While Apple says in the statement it’s open to finding a solution, no timeline is given. All we know is that the features won’t be available on devices in the EU this year. They’re expected to launch in other regions in the fall.

Apple Intelligence and other features won’t launch in the EU this year Read More »

adobe-to-update-vague-ai-terms-after-users-threaten-to-cancel-subscriptions

Adobe to update vague AI terms after users threaten to cancel subscriptions

Adobe to update vague AI terms after users threaten to cancel subscriptions

Adobe has promised to update its terms of service to make it “abundantly clear” that the company will “never” train generative AI on creators’ content after days of customer backlash, with some saying they would cancel Adobe subscriptions over its vague terms.

Users got upset last week when an Adobe pop-up informed them of updates to terms of use that seemed to give Adobe broad permissions to access user content, take ownership of that content, or train AI on that content. The pop-up forced users to agree to these terms to access Adobe apps, disrupting access to creatives’ projects unless they immediately accepted them.

For any users unwilling to accept, canceling annual plans could trigger fees amounting to 50 percent of their remaining subscription cost. Adobe justifies collecting these fees because a “yearly subscription comes with a significant discount.”

On X (formerly Twitter), YouTuber Sasha Yanshin wrote that he canceled his Adobe license “after many years as a customer,” arguing that “no creator in their right mind can accept” Adobe’s terms that seemed to seize a “worldwide royalty-free license to reproduce, display, distribute” or “do whatever they want with any content” produced using their software.

“This is beyond insane,” Yanshin wrote on X. “You pay a huge monthly subscription, and they want to own your content and your entire business as well. Going to have to learn some new tools.”

Adobe’s design leader Scott Belsky replied, telling Yanshin that Adobe had clarified the update in a blog post and noting that Adobe’s terms for licensing content are typical for every cloud content company. But he acknowledged that those terms were written about 11 years ago and that the language could be plainer, writing that “modern terms of service in the current climate of customer concerns should evolve to address modern day concerns directly.”

Yanshin has so far not been encouraged by any of Adobe’s attempts to clarify its terms, writing that he gives “precisely zero f*cks about Adobe’s clarifications or blog posts.”

“You forced people to sign new Terms,” Yanshin told Belsky on X. “Legally, they are the only thing that matters.”

Another user in the thread using an anonymous X account also pushed back, writing, “Point to where it says in the terms that you won’t use our content for LLM or AI training? And state unequivocally that you do not have the right to use our work beyond storing it. That would go a long way.”

“Stay tuned,” Belsky wrote on X. “Unfortunately, it takes a process to update a TOS,” but “we are working on incorporating these clarifications.”

Belsky co-authored the blog this week announcing that Adobe’s terms would be updated by June 18 after a week of fielding feedback from users.

“We’ve never trained generative AI on customer content, taken ownership of a customer’s work, or allowed access to customer content beyond legal requirements,” Adobe’s blog said. “Nor were we considering any of those practices as part of the recent Terms of Use update. That said, we agree that evolving our Terms of Use to reflect our commitments to our community is the right thing to do.”

Adobe to update vague AI terms after users threaten to cancel subscriptions Read More »

ai-trained-on-photos-from-kids’-entire-childhood-without-their-consent

AI trained on photos from kids’ entire childhood without their consent

AI trained on photos from kids’ entire childhood without their consent

Photos of Brazilian kids—sometimes spanning their entire childhood—have been used without their consent to power AI tools, including popular image generators like Stable Diffusion, Human Rights Watch (HRW) warned on Monday.

This act poses urgent privacy risks to kids and seems to increase risks of non-consensual AI-generated images bearing their likenesses, HRW’s report said.

An HRW researcher, Hye Jung Han, helped expose the problem. She analyzed “less than 0.0001 percent” of LAION-5B, a dataset built from Common Crawl snapshots of the public web. The dataset does not contain the actual photos but includes image-text pairs derived from 5.85 billion images and captions posted online since 2008.

Among those images linked in the dataset, Han found 170 photos of children from at least 10 Brazilian states. These were mostly family photos uploaded to personal and parenting blogs most Internet surfers wouldn’t easily stumble upon, “as well as stills from YouTube videos with small view counts, seemingly uploaded to be shared with family and friends,” Wired reported.

LAION, the German nonprofit that created the dataset, has worked with HRW to remove the links to the children’s images in the dataset.

That may not completely resolve the problem, though. HRW’s report warned that the removed links are “likely to be a significant undercount of the total amount of children’s personal data that exists in LAION-5B.” Han told Wired that she fears that the dataset may still be referencing personal photos of kids “from all over the world.”

Removing the links also does not remove the images from the public web, where they can still be referenced and used in other AI datasets, particularly those relying on Common Crawl, LAION’s spokesperson, Nate Tyler, told Ars.

“This is a larger and very concerning issue, and as a nonprofit, volunteer organization, we will do our part to help,” Tyler told Ars.

Han told Ars that “Common Crawl should stop scraping children’s personal data, given the privacy risks involved and the potential for new forms of misuse.”

According to HRW’s analysis, many of the Brazilian children’s identities were “easily traceable,” due to children’s names and locations being included in image captions that were processed when building the LAION dataset.

And at a time when middle and high school-aged students are at greater risk of being targeted by bullies or bad actors turning “innocuous photos” into explicit imagery, it’s possible that AI tools may be better equipped to generate AI clones of kids whose images are referenced in AI datasets, HRW suggested.

“The photos reviewed span the entirety of childhood,” HRW’s report said. “They capture intimate moments of babies being born into the gloved hands of doctors, young children blowing out candles on their birthday cake or dancing in their underwear at home, students giving a presentation at school, and teenagers posing for photos at their high school’s carnival.”

There is less risk that the Brazilian kids’ photos are currently powering AI tools since “all publicly available versions of LAION-5B were taken down” in December, Tyler told Ars. That decision came out of an “abundance of caution” after a Stanford University report “found links in the dataset pointing to illegal content on the public web,” Tyler said, including 3,226 suspected instances of child sexual abuse material.

Han told Ars that “the version of the dataset that we examined pre-dates LAION’s temporary removal of its dataset in December 2023.” The dataset will not be available again until LAION determines that all flagged illegal content has been removed.

“LAION is currently working with the Internet Watch Foundation, the Canadian Centre for Child Protection, Stanford, and Human Rights Watch to remove all known references to illegal content from LAION-5B,” Tyler told Ars. “We are grateful for their support and hope to republish a revised LAION-5B soon.”

In Brazil, “at least 85 girls” have reported classmates harassing them by using AI tools to “create sexually explicit deepfakes of the girls based on photos taken from their social media profiles,” HRW reported. Once these explicit deepfakes are posted online, they can inflict “lasting harm,” HRW warned, potentially remaining online for their entire lives.

“Children should not have to live in fear that their photos might be stolen and weaponized against them,” Han said. “The government should urgently adopt policies to protect children’s data from AI-fueled misuse.”

Ars could not immediately reach Stable Diffusion maker Stability AI for comment.

AI trained on photos from kids’ entire childhood without their consent Read More »

can-a-technology-called-rag-keep-ai-models-from-making-stuff-up?

Can a technology called RAG keep AI models from making stuff up?

Can a technology called RAG keep AI models from making stuff up?

Aurich Lawson | Getty Images

We’ve been living through the generative AI boom for nearly a year and a half now, following the late 2022 release of OpenAI’s ChatGPT. But despite transformative effects on companies’ share prices, generative AI tools powered by large language models (LLMs) still have major drawbacks that have kept them from being as useful as many would like them to be. Retrieval augmented generation, or RAG, aims to fix some of those drawbacks.

Perhaps the most prominent drawback of LLMs is their tendency toward confabulation (also called “hallucination”), which is a statistical gap-filling phenomenon AI language models produce when they are tasked with reproducing knowledge that wasn’t present in the training data. They generate plausible-sounding text that can veer toward accuracy when the training data is solid but otherwise may just be completely made up.

Relying on confabulating AI models gets people and companies in trouble, as we’ve covered in the past. In 2023, we saw two instances of lawyers citing legal cases, confabulated by AI, that didn’t exist. We’ve covered claims against OpenAI in which ChatGPT confabulated and accused innocent people of doing terrible things. In February, we wrote about Air Canada’s customer service chatbot inventing a refund policy, and in March, a New York City chatbot was caught confabulating city regulations.

So if generative AI aims to be the technology that propels humanity into the future, someone needs to iron out the confabulation kinks along the way. That’s where RAG comes in. Its proponents hope the technique will help turn generative AI technology into reliable assistants that can supercharge productivity without requiring a human to double-check or second-guess the answers.

“RAG is a way of improving LLM performance, in essence by blending the LLM process with a web search or other document look-up process” to help LLMs stick to the facts, according to Noah Giansiracusa, associate professor of mathematics at Bentley University.

Let’s take a closer look at how it works and what its limitations are.

A framework for enhancing AI accuracy

Although RAG is now seen as a technique to help fix issues with generative AI, it actually predates ChatGPT. Researchers coined the term in a 2020 academic paper by researchers at Facebook AI Research (FAIR, now Meta AI Research), University College London, and New York University.

As we’ve mentioned, LLMs struggle with facts. Google’s entry into the generative AI race, Bard, made an embarrassing error on its first public demonstration back in February 2023 about the James Webb Space Telescope. The error wiped around $100 billion off the value of parent company Alphabet. LLMs produce the most statistically likely response based on their training data and don’t understand anything they output, meaning they can present false information that seems accurate if you don’t have expert knowledge on a subject.

LLMs also lack up-to-date knowledge and the ability to identify gaps in their knowledge. “When a human tries to answer a question, they can rely on their memory and come up with a response on the fly, or they could do something like Google it or peruse Wikipedia and then try to piece an answer together from what they find there—still filtering that info through their internal knowledge of the matter,” said Giansiracusa.

But LLMs aren’t humans, of course. Their training data can age quickly, particularly in more time-sensitive queries. In addition, the LLM often can’t distinguish specific sources of its knowledge, as all its training data is blended together into a kind of soup.

In theory, RAG should make keeping AI models up to date far cheaper and easier. “The beauty of RAG is that when new information becomes available, rather than having to retrain the model, all that’s needed is to augment the model’s external knowledge base with the updated information,” said Peterson. “This reduces LLM development time and cost while enhancing the model’s scalability.”

Can a technology called RAG keep AI models from making stuff up? Read More »

sky-voice-actor-says-nobody-ever-compared-her-to-scarjo-before-openai-drama

Sky voice actor says nobody ever compared her to ScarJo before OpenAI drama

Scarlett Johansson attends the Golden Heart Awards in 2023.

Enlarge / Scarlett Johansson attends the Golden Heart Awards in 2023.

OpenAI is sticking to its story that it never intended to copy Scarlett Johansson’s voice when seeking an actor for ChatGPT’s “Sky” voice mode.

The company provided The Washington Post with documents and recordings clearly meant to support OpenAI CEO Sam Altman’s defense against Johansson’s claims that Sky was made to sound “eerily similar” to her critically acclaimed voice acting performance in the sci-fi film Her.

Johansson has alleged that OpenAI hired a soundalike to steal her likeness and confirmed that she declined to provide the Sky voice. Experts have said that Johansson has a strong case should she decide to sue OpenAI for violating her right to publicity, which gives the actress exclusive rights to the commercial use of her likeness.

In OpenAI’s defense, The Post reported that the company’s voice casting call flier did not seek a “clone of actress Scarlett Johansson,” and initial voice test recordings of the unnamed actress hired to voice Sky showed that her “natural voice sounds identical to the AI-generated Sky voice.” Because of this, OpenAI has argued that “Sky’s voice is not an imitation of Scarlett Johansson.”

What’s more, an agent for the unnamed Sky actress who was cast—both granted anonymity to protect her client’s safety—confirmed to The Post that her client said she was never directed to imitate either Johansson or her character in Her. She simply used her own voice and got the gig.

The agent also provided a statement from her client that claimed that she had never been compared to Johansson before the backlash started.

This all “feels personal,” the voice actress said, “being that it’s just my natural voice and I’ve never been compared to her by the people who do know me closely.”

However, OpenAI apparently reached out to Johansson after casting the Sky voice actress. During outreach last September and again this month, OpenAI seemed to want to substitute the Sky voice actress’s voice with Johansson’s voice—which is ironically what happened when Johansson got cast to replace the original actress hired to voice her character in Her.

Altman has clarified that timeline in a statement provided to Ars that emphasized that the company “never intended” Sky to sound like Johansson. Instead, OpenAI tried to snag Johansson to voice the part after realizing—seemingly just as Her director Spike Jonze did—that the voice could potentially resonate with more people if Johansson did it.

“We are sorry to Ms. Johansson that we didn’t communicate better,” Altman’s statement said.

Johansson has not yet made any public indications that she intends to sue OpenAI over this supposed miscommunication. But if she did, legal experts told The Post and Reuters that her case would be strong because of legal precedent set in high-profile lawsuits raised by singers Bette Midler and Tom Waits blocking companies from misappropriating their voices.

Why Johansson could win if she sued OpenAI

In 1988, Bette Midler sued Ford Motor Company for hiring a soundalike to perform Midler’s song “Do You Want to Dance?” in a commercial intended to appeal to “young yuppies” by referencing popular songs from their college days. Midler had declined to do the commercial and accused Ford of exploiting her voice to endorse its product without her consent.

This groundbreaking case proved that a distinctive voice like Midler’s cannot be deliberately imitated to sell a product. It did not matter that the singer used in the commercial had used her natural singing voice, because “a number of people” told Midler that the performance “sounded exactly” like her.

Midler’s case set a powerful precedent preventing companies from appropriating parts of performers’ identities—essentially stopping anyone from stealing a well-known voice that otherwise could not be bought.

“A voice is as distinctive and personal as a face,” the court ruled, concluding that “when a distinctive voice of a professional singer is widely known and is deliberately imitated in order to sell a product, the sellers have appropriated what is not theirs.”

Like in Midler’s case, Johansson could argue that plenty of people think that the Sky voice sounds like her and that OpenAI’s product might be more popular if it had a Her-like voice mode. Comics on popular late-night shows joked about the similarity, including Johansson’s husband, Saturday Night Live comedian Colin Jost. And other people close to Johansson agreed that Sky sounded like her, Johansson has said.

Johansson’s case differs from Midler’s case seemingly primarily because of the casting timeline that OpenAI is working hard to defend.

OpenAI seems to think that because Johansson was offered the gig after the Sky voice actor was cast that she has no case to claim that they hired the other actor after she declined.

The timeline may not matter as much as OpenAI may think, though. In the 1990s, Tom Waits cited Midler’s case when he won a $2.6 million lawsuit after Frito-Lay hired a Waits impersonator to perform a song that “echoed the rhyming word play” of a Waits song in a Doritos commercial. Waits won his suit even though Frito-Lay never attempted to hire the singer before casting the soundalike.

Sky voice actor says nobody ever compared her to ScarJo before OpenAI drama Read More »

robert-f-kennedy-jr.-sues-meta,-citing-chatbot’s-reply-as-evidence-of-shadowban

Robert F. Kennedy Jr. sues Meta, citing chatbot’s reply as evidence of shadowban

Screenshot from the documentary <em>Who Is Bobby Kennedy?</em>” src=”https://cdn.arstechnica.net/wp-content/uploads/2024/05/Who-Is-Bobby-Kennedy-screenshot-via-YouTube-800×422.jpg”></img><figcaption>
<p><a data-height=Enlarge / Screenshot from the documentary Who Is Bobby Kennedy?

In a lawsuit that seems determined to ignore that Section 230 exists, Robert F. Kennedy Jr. has sued Meta for allegedly shadowbanning his million-dollar documentary, Who Is Bobby Kennedy? and preventing his supporters from advocating for his presidential campaign.

According to Kennedy, Meta is colluding with the Biden administration to sway the 2024 presidential election by suppressing Kennedy’s documentary and making it harder to support Kennedy’s candidacy. This allegedly has caused “substantial donation losses,” while also violating the free speech rights of Kennedy, his supporters, and his film’s production company, AV24.

Meta had initially restricted the documentary on Facebook and Instagram but later fixed the issue after discovering that the film was mistakenly flagged by the platforms’ automated spam filters.

But Kennedy’s complaint claimed that Meta is still “brazenly censoring speech” by “continuing to throttle, de-boost, demote, and shadowban the film.” In an exhibit, Kennedy’s lawyers attached screenshots representing “hundreds” of Facebook and Instagram users whom Meta allegedly sent threats, intimidated, and sanctioned after they shared the documentary.

Some of these users remain suspended on Meta platforms, the complaint alleged. Others whose temporary suspensions have been lifted claimed that their posts are still being throttled, though, and Kennedy’s lawyers earnestly insisted that an exchange with Meta’s chatbot proves it.

Two days after the documentary’s release, Kennedy’s team apparently asked the Meta AI assistant, “When users post the link whoisbobbykennedy.com, can their followers see the post in their feeds?”

“I can tell you that the link is currently restricted by Meta,” the chatbot answered.

Chatbots, of course, are notoriously inaccurate sources of information, and Meta AI’s terms of service note this. In a section labeled “accuracy,” Meta warns that chatbot responses “may not reflect accurate, complete, or current information” and should always be verified.

Perhaps more significantly, there is little reason to think that Meta’s chatbot would have access to information about internal content moderation decisions.

Techdirt’s Mike Masnick mocked Kennedy’s reliance on the chatbot in the case. He noted that Kennedy seemed to have no evidence of the alleged shadow-banning, while there’s plenty of evidence that Meta’s spam filters accidentally remove non-violative content all the time.

Meta’s chatbot is “just a probabilistic stochastic parrot, repeating a probable sounding answer to users’ questions,” Masnick wrote. “And these idiots think it’s meaningful evidence. This is beyond embarrassing.”

Neither Meta nor Kennedy’s lawyer, Jed Rubenfeld, responded to Ars’ request to comment.

Robert F. Kennedy Jr. sues Meta, citing chatbot’s reply as evidence of shadowban Read More »

openai’s-flawed-plan-to-flag-deepfakes-ahead-of-2024-elections

OpenAI’s flawed plan to flag deepfakes ahead of 2024 elections

OpenAI’s flawed plan to flag deepfakes ahead of 2024 elections

As the US moves toward criminalizing deepfakes—deceptive AI-generated audio, images, and videos that are increasingly hard to discern from authentic content online—tech companies have rushed to roll out tools to help everyone better detect AI content.

But efforts so far have been imperfect, and experts fear that social media platforms may not be ready to handle the ensuing AI chaos during major global elections in 2024—despite tech giants committing to making tools specifically to combat AI-fueled election disinformation. The best AI detection remains observant humans, who, by paying close attention to deepfakes, can pick up on flaws like AI-generated people with extra fingers or AI voices that speak without pausing for a breath.

Among the splashiest tools announced this week, OpenAI shared details today about a new AI image detection classifier that it claims can detect about 98 percent of AI outputs from its own sophisticated image generator, DALL-E 3. It also “currently flags approximately 5 to 10 percent of images generated by other AI models,” OpenAI’s blog said.

According to OpenAI, the classifier provides a binary “true/false” response “indicating the likelihood of the image being AI-generated by DALL·E 3.” A screenshot of the tool shows how it can also be used to display a straightforward content summary confirming that “this content was generated with an AI tool” and includes fields ideally flagging the “app or device” and AI tool used.

To develop the tool, OpenAI spent months adding tamper-resistant metadata to “all images created and edited by DALL·E 3” that “can be used to prove the content comes” from “a particular source.” The detector reads this metadata to accurately flag DALL-E 3 images as fake.

That metadata follows “a widely used standard for digital content certification” set by the Coalition for Content Provenance and Authenticity (C2PA), often likened to a nutrition label. And reinforcing that standard has become “an important aspect” of OpenAI’s approach to AI detection beyond DALL-E 3, OpenAI said. When OpenAI broadly launches its video generator, Sora, C2PA metadata will be integrated into that tool as well, OpenAI said.

Of course, this solution is not comprehensive because that metadata could always be removed, and “people can still create deceptive content without this information (or can remove it),” OpenAI said, “but they cannot easily fake or alter this information, making it an important resource to build trust.”

Because OpenAI is all in on C2PA, the AI leader announced today that it would join the C2PA steering committee to help drive broader adoption of the standard. OpenAI will also launch a $2 million fund with Microsoft to support broader “AI education and understanding,” seemingly partly in the hopes that the more people understand about the importance of AI detection, the less likely they will be to remove this metadata.

“As adoption of the standard increases, this information can accompany content through its lifecycle of sharing, modification, and reuse,” OpenAI said. “Over time, we believe this kind of metadata will be something people come to expect, filling a crucial gap in digital content authenticity practices.”

OpenAI joining the committee “marks a significant milestone for the C2PA and will help advance the coalition’s mission to increase transparency around digital media as AI-generated content becomes more prevalent,” C2PA said in a blog.

OpenAI’s flawed plan to flag deepfakes ahead of 2024 elections Read More »

tech-brands-are-forcing-ai-into-your-gadgets—whether-you-asked-for-it-or-not

Tech brands are forcing AI into your gadgets—whether you asked for it or not

Tech brands love hollering about the purported thrills of AI these days.

Enlarge / Tech brands love hollering about the purported thrills of AI these days.

Logitech announced a new mouse last week. A company rep reached out to inform Ars of Logitech’s “newest wireless mouse.” The gadget’s product page reads the same as of this writing.

I’ve had good experience with Logitech mice, especially wireless ones, one of which I’m using now. So I was keen to learn what Logitech might have done to improve on its previous wireless mouse designs. A quieter click? A new shape to better accommodate my overworked right hand? Multiple onboard profiles in a business-ready design?

I was disappointed to learn that the most distinct feature of the Logitech Signature AI Edition M750 is a button located south of the scroll wheel. This button is preprogrammed to launch the ChatGPT prompt builder, which Logitech recently added to its peripherals configuration app Options+.

That’s pretty much it.

Beyond that, the M750 looks just like the Logitech Signature M650, which came out in January 2022.  Also, the new mouse’s forward button (on the left side of the mouse) is preprogrammed to launch Windows or macOS dictation, and the back button opens ChatGPT within Options+. As of this writing, the new mouse’s MSRP is $10 higher ($50) than the M650’s.

  • The new M750 (pictured) is 4.26×2.4×1.52 inches and 3.57 ounces.

    Logitech

  • The M650 (pictured) comes in 3 sizes. The medium size is 4.26×2.4×1.52 inches and 3.58 ounces.

    Logitech

I asked Logitech about the M750 appearing to be the M650 but with an extra button, and a spokesperson responded by saying:

M750 is indeed not the same mouse as M650. It has an extra button that has been preprogrammed to trigger the Logi AI Prompt Builder once the user installs Logi Options+ app. Without Options+, the button does DPI toggle between 1,000 and 1,600 DPI.

However, a reprogrammable button south of a mouse’s scroll wheel that can be set to launch an app or toggle DPI out of the box is pretty common, including among Logitech mice. Logitech’s rep further claimed to me that the two mice use different electronic components, which Logitech refers to as the mouse’s platform. Logitech can reuse platforms for different models, the spokesperson said.

Logitech’s rep declined to comment on why the M650 didn’t have a button south of its scroll wheel. Price is a potential reason, but Logitech also sells cheaper mice with this feature.

Still, the minimal differences between the two suggest that the M750 isn’t worth a whole product release. I suspect that if it weren’t for Logitech’s trendy new software feature, the M750 wouldn’t have been promoted as a new product.

The M750 also raises the question of how many computer input devices need to be equipped with some sort of buzzy, generative AI-related feature.

Logitech’s ChatGPT prompt builder

Logitech’s much bigger release last week wasn’t a peripheral but an addition to its Options+ app. You don’t need the “new” M750 mouse to use Logitech’s AI Prompt Builder; I was able to program my MX Master 3S to launch it. Several Logitech mice and keyboards support AI Prompt Builder.

When you press a button that launches the prompt builder, an Options+ window appears. There, you can input text that Options+ will use to create a ChatGPT-appropriate prompt based on your needs:

A Logitech-provided image depicting its AI Prompt Builder software feature.

Enlarge / A Logitech-provided image depicting its AI Prompt Builder software feature.

Logitech

After you make your choices, another window opens with ChatGPT’s response. Logitech said the prompt builder requires a ChatGPT account, but I was able to use GPT-3.5 without entering one (the feature can also work with GPT-4).

The typical Arsian probably doesn’t need help creating a ChatGPT prompt, and Logitech’s new capability doesn’t work with any other chatbots. The prompt builder could be interesting to less technically savvy people interested in some handholding for early ChatGPT experiences. However, I doubt if people with an elementary understanding of generative AI need instant access to ChatGPT.

The point, though, is instant access to ChatGPT capabilities, something that Logitech is arguing is worthwhile for its professional users. Some Logitech customers, though, seem to disagree, especially with the AI Prompt Builder, meaning that Options+ has even more resources in the background.

But Logitech isn’t the only gadget company eager to tie one-touch AI access to a hardware button.

Pinching your earbuds to talk to ChatGPT

Similarly to Logitech, Nothing is trying to give its customers access to ChatGPT quickly. In this case, access occurs by pinching the device. This month, Nothing announced that it “integrated Nothing earbuds and Nothing OS with ChatGPT to offer users instant access to knowledge directly from the devices they use most, earbuds and smartphones.” The feature requires the latest Nothing OS and for the users to have a Nothing phone with ChatGPT installed. ChatGPT gestures work with Nothing’s Phone (2) and Nothing Ear and Nothing Ear (a), but Nothing plans to expand to additional phones via software updates.

Nothing's Ear and Ear (a) earbuds.

Enlarge / Nothing’s Ear and Ear (a) earbuds.

Nothing

Nothing also said it would embed “system-level entry points” to ChatGPT, like screenshot sharing and “Nothing-styled widgets,” to Nothing smartphone OSes.

A peek at setting up ChatGPT integration on the Nothing X app.

Enlarge / A peek at setting up ChatGPT integration on the Nothing X app.

Nothing’s ChatGPT integration may be a bit less intrusive than Logitech’s since users who don’t have ChatGPT on their phones won’t be affected. But, again, you may wonder how many people asked for this feature and how reliably it will function.

Tech brands are forcing AI into your gadgets—whether you asked for it or not Read More »

amazon-virtually-kills-efforts-to-develop-alexa-skills,-disappointing-dozens

Amazon virtually kills efforts to develop Alexa Skills, disappointing dozens

disincentives —

Most devs would need to pay out of pocket to host Alexa apps after June.

amazon echo dot gen 4

Enlarge / The 4th-gen Amazon Echo Dot smart speaker.

Amazon

Alexa hasn’t worked out the way Amazon originally planned.

There was a time when it thought that Alexa would yield a robust ecosystem of apps, or Alexa Skills, that would make the voice assistant an integral part of users’ lives. Amazon envisioned tens of thousands of software developers building valued abilities for Alexa that would grow the voice assistant’s popularity—and help Amazon make some money.

But about seven years after launching a rewards program to encourage developers to build Skills, Alexa’s most preferred abilities are the basic ones, like checking the weather. And on June 30, Amazon will stop giving out the monthly Amazon Web Services credits that have made it free for third-party developers to build and host Alexa Skills. The company also recently told devs that its Alexa Developer Rewards program was ending, virtually disincentivizing third-party devs to build for Alexa.

Death knell for third-party Alexa apps

The news has left dozens of Alexa Skills developers wondering if they have a future with Alexa, especially as Amazon preps a generative AI and subscription-based version of Alexa. “Dozens” may sound like a dig at Alexa’s ecosystem, but it’s an estimation based on a podcast from Skills developers Mark Tucker and Allen Firstenberg, who, in a recent podcast, agreed that “dozens” of third-party devs were contemplating if it’s still worthwhile to develop Alexa skills. The casual summary wasn’t stated as a hard fact or confirmed by Amazon but, rather, seemed like a rough and quick estimation based on the developers’ familiarity with the Skills community. But with such minimal interest and money associated with Skills, dozens isn’t an implausible figure either.

Amazon admitted that there’s little interest in its Skills incentives programs. Bloomberg reported that “fewer than 1 percent of developers were using the soon-to-end programs,” per Amazon spokesperson Lauren Raemhild.

“Today, with over 160,000 skills available for customers and a well-established Alexa developer community, these programs have run their course, and we decided to sunset them,” she told the publication.

The writing on the wall, though, is that Amazon doesn’t have the incentive or money to grow the Alexa app ecosystem it once imagined. Voice assistants largely became money pits, and the Alexa division has endured recent layoffs as it fights for survival and relevance. Meanwhile, Google Assistant stopped using third-party apps in 2022.

“Many developers are now going to need to make some tough decisions about maintaining existing or creating future experiences on Alexa,” Tucker said via a LinkedIn post.

Alexa Skills criticized as “useless”

As of this writing, the top Alexa skills, in order, are: Jeopardy, Are You Smarter Than a 5th Grader?, Who Wants to Be a Millionaire?, and Calm. That’s not exactly a futuristic list of must-have technological feats. For years, people have wondered when the “killer app” would come to catapult Alexa’s popularity. But now it seems like Alexa’s only hope at that killer use case is generative AI (a gamble filled with its own obstacles).

But like Amazon, third-party developers found it hard to make money off Skills, with a rare few pointing to making thousands of dollars at most and the vast majority not making anything.

“If you can’t make money off it, no one’s going to seriously engage,” Joseph “Jo” Jaquinta, a developer who had made over 12 Skills, told CNET in 2017.

By 2018, Amazon had paid developers millions to grow Alexa Skills. But by 2020, Amazon reduced the amount of money it paid out to third-party developers, an anonymous source told Bloomberg, The source noted that the apps made by paid developers weren’t making the company much money. Come 2024, the most desirable things you can make Alexa do remain basic tasks, like playing a song and apparently trivia games.

Amazon hasn’t said it’s ending Skills. That would seem premature considering that its Alexa chatbot isn’t expected until June. Developers can still make money off Skills with in-app purchases, but the incentive is minimal.

“Developers like you have and will play a critical role in the success of Alexa, and we appreciate your continued engagement,” Amazon’s notice to devs said, per Bloomberg.

We’ll see how “critical” Amazon treats those remaining developers once its generative AI chatbot is ready.

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us-lawmaker-proposes-a-public-database-of-all-ai-training-material

US lawmaker proposes a public database of all AI training material

Who’s got the receipts? —

Proposed law would require more transparency from AI companies.

US lawmaker proposes a public database of all AI training material

Amid a flurry of lawsuits over AI models’ training data, US Representative Adam Schiff (D-Calif.) has introduced a bill that would require AI companies to disclose exactly which copyrighted works are included in datasets training AI systems.

The Generative AI Disclosure Act “would require a notice to be submitted to the Register of Copyrights prior to the release of a new generative AI system with regard to all copyrighted works used in building or altering the training dataset for that system,” Schiff said in a press release.

The bill is retroactive and would apply to all AI systems available today, as well as to all AI systems to come. It would take effect 180 days after it’s enacted, requiring anyone who creates or alters a training set not only to list works referenced by the dataset, but also to provide a URL to the dataset within 30 days before the AI system is released to the public. That URL would presumably give creators a way to double-check if their materials have been used and seek any credit or compensation available before the AI tools are in use.

All notices would be kept in a publicly available online database.

Schiff described the act as championing “innovation while safeguarding the rights and contributions of creators, ensuring they are aware when their work contributes to AI training datasets.”

“This is about respecting creativity in the age of AI and marrying technological progress with fairness,” Schiff said.

Currently, creators who don’t have access to training datasets rely on AI models’ outputs to figure out if their copyrighted works may have been included in training various AI systems. The New York Times, for example, prompted ChatGPT to spit out excerpts of its articles, relying on a tactic to identify training data by asking ChatGPT to produce lines from specific articles, which OpenAI has curiously described as “hacking.”

Under Schiff’s law, The New York Times would need to consult the database to ID all articles used to train ChatGPT or any other AI system.

Any AI maker who violates the act would risk a “civil penalty in an amount not less than $5,000,” the proposed bill said.

At a hearing on artificial intelligence and intellectual property, Rep. Darrell Issa (R-Calif.)—who chairs the House Judiciary Subcommittee on Courts, Intellectual Property, and the Internet—told Schiff that his subcommittee would consider the “thoughtful” bill.

Schiff told the subcommittee that the bill is “only a first step” toward “ensuring that at a minimum” creators are “aware of when their work contributes to AI training datasets,” saying that he would “welcome the opportunity to work with members of the subcommittee” on advancing the bill.

“The rapid development of generative AI technologies has outpaced existing copyright laws, which has led to widespread use of creative content to train generative AI models without consent or compensation,” Schiff warned at the hearing.

In Schiff’s press release, Meredith Stiehm, president of the Writers Guild of America West, joined leaders from other creative groups celebrating the bill as an “important first step” for rightsholders.

“Greater transparency and guardrails around AI are necessary to protect writers and other creators” and address “the unprecedented and unauthorized use of copyrighted materials to train generative AI systems,” Stiehm said.

Until the thorniest AI copyright questions are settled, Ken Doroshow, a chief legal officer for the Recording Industry Association of America, suggested that Schiff’s bill filled an important gap by introducing “comprehensive and transparent recordkeeping” that would provide “one of the most fundamental building blocks of effective enforcement of creators’ rights.”

A senior adviser for the Human Artistry Campaign, Moiya McTier, went further, celebrating the bill as stopping AI companies from “exploiting” artists and creators.

“AI companies should stop hiding the ball when they copy creative works into AI systems and embrace clear rules of the road for recordkeeping that create a level and transparent playing field for the development and licensing of genuinely innovative applications and tools,” McTier said.

AI copyright guidance coming soon

While courts weigh copyright questions raised by artists, book authors, and newspapers, the US Copyright Office announced in March that it would be issuing guidance later this year, but the office does not seem to be prioritizing questions on AI training.

Instead, the Copyright Office will focus first on issuing guidance on deepfakes and AI outputs. This spring, the office will release a report “analyzing the impact of AI on copyright” of “digital replicas, or the use of AI to digitally replicate individuals’ appearances, voices, or other aspects of their identities.” Over the summer, another report will focus on “the copyrightability of works incorporating AI-generated material.”

Regarding “the topic of training AI models on copyrighted works as well as any licensing considerations and liability issues,” the Copyright Office did not provide a timeline for releasing guidance, only confirming that their “goal is to finalize the entire report by the end of the fiscal year.”

Once guidance is available, it could sway court opinions, although courts do not necessarily have to apply Copyright Office guidance when weighing cases.

The Copyright Office’s aspirational timeline does seem to be ahead of when at least some courts can be expected to decide on some of the biggest copyright questions for some creators. The class-action lawsuit raised by book authors against OpenAI, for example, is not expected to be resolved until February 2025, and the New York Times’ lawsuit is likely on a similar timeline. However, artists suing Stability AI face a hearing on that AI company’s motion to dismiss this May.

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fake-ai-law-firms-are-sending-fake-dmca-threats-to-generate-fake-seo-gains

Fake AI law firms are sending fake DMCA threats to generate fake SEO gains

Dewey Fakum & Howe, LLP —

How one journalist found himself targeted by generative AI over a keyfob photo.

Updated

Face composed of many pixellated squares, joining together

Enlarge / A person made of many parts, similar to the attorney who handles both severe criminal law and copyright takedowns for an Arizona law firm.

Getty Images

If you run a personal or hobby website, getting a copyright notice from a law firm about an image on your site can trigger some fast-acting panic. As someone who has paid to settle a news service-licensing issue before, I can empathize with anybody who wants to make this kind of thing go away.

Which is why a new kind of angle-on-an-angle scheme can seem both obvious to spot and likely effective. Ernie Smith, the prolific, ever-curious writer behind the newsletter Tedium, received a “DMCA Copyright Infringement Notice” in late March from “Commonwealth Legal,” representing the “Intellectual Property division” of Tech4Gods.

The issue was with a photo of a keyfob from legitimate photo service Unsplash used in service of a post about a strange Uber ride Smith once took. As Smith detailed in a Mastodon thread, the purported firm needed him to “add a credit to our client immediately” through a link to Tech4Gods, and said it should be “addressed in the next five business days.” Removing the image “does not conclude the matter,” and should Smith not have taken action, the putative firm would have to “activate” its case, relying on DMCA 512(c) (which, in many readings, actually does grant relief should a website owner, unaware of infringing material, “act expeditiously to remove” said material). The email unhelpfully points to the main page of the Internet Archive so that Smith might review “past usage records.”

A slice of the website for Commonwealth Legal Services, with every word of that phrase, including

A slice of the website for Commonwealth Legal Services, with every word of that phrase, including “for,” called into question.

Commonwealth Legal Services

There are quite a few issues with Commonwealth Legal’s request, as detailed by Smith and 404 Media. Chief among them is that Commonwealth Legal, a firm theoretically based in Arizona (which is not a commonwealth), almost certainly does not exist. Despite the 2018 copyright displayed on the site, the firm’s website domain was seemingly registered on March 1, 2024, with a Canadian IP location. The address on the firm’s site leads to a location that, to say the least, does not match the “fourth floor” indicated on the website.

While the law firm’s website is stuffed full of stock images, so are many websites for professional services. The real tell is the site’s list of attorneys, most of which, as 404 Media puts it, have “vacant, thousand-yard stares” common to AI-generated faces. AI detection firm Reality Defender told 404 Media that his service spotted AI generation in every attorneys’ image, “most likely by a Generative Adversarial Network (GAN) model.”

Then there are the attorneys’ bios, which offer surface-level competence underpinned by bizarre setups. Five of the 12 supposedly come from acclaimed law schools at Harvard, Yale, Stanford, and University of Chicago. The other seven seem to have graduated from the top five results you might get for “Arizona Law School.” Sarah Walker has a practice based on “Copyright Violation and Judicial Criminal Proceedings,” a quite uncommon pairing. Sometimes she is “upholding the rights of artists,” but she can also “handle high-stakes criminal cases.” Walker, it seems, couldn’t pick just one track at Yale Law School.

Why would someone go to the trouble of making a law firm out of NameCheap, stock art, and AI images (and seemingly copy) to send quasi-legal demands to site owners? Backlinks, that’s why. Backlinks are links from a site that Google (or others, but almost always Google) holds in high esteem to a site trying to rank up. Whether spammed, traded, generated, or demanded through a fake firm, backlinks power the search engine optimization (SEO) gray, to very dark gray, market. For all their touted algorithmic (and now AI) prowess, search engines have always had a hard time gauging backlink quality and context, so some site owners still buy backlinks.

The owner of Tech4Gods told 404 Media’s Jason Koebler that he did buy backlinks for his gadget review site (with “AI writing assistants”). He disclaimed owning the disputed image or any images and made vague suggestions that a disgruntled former contractor may be trying to poison his ranking with spam links.

Asked by Ars if he had heard back from “Commonwealth Legal” now that five business days were up, Ernie Smith tells Ars: “No, alas.”

This post was updated at 4: 50 p.m. Eastern to include Ernie Smith’s response.

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