Legal Issues and Business Considerations When Using GenAI in Digital Advertising (IAB) IAB published its white paper addressing the legal and business issues concerning the creation, training, and implementation of generative AI in digital advertising. While the whitepaper is focused in USA law, it provides a great overview of the most important use cases and challenges of using AI in the context of digital advertising. AI digital advertising use cases - audience segmentation and targeting - budget and performance optimization - campaign measuring - audience intelligence - testing ad creations - chatbots - content generation Legal issues regarding the use of AI to create content - no copyright protection for works created by non-humans (USA) - while there is a proliferation of lawsuits concerning the collection and use of third party data and content to training AI models, no cases were reported where an end user of a third-party AI tool is sued for copyright infringement based on the output generated in response to the user prompts - quality and accuracy risks (hallucinations, misinformation and defamation) - biases - creation of offensive content - transparency and disclose of the use of AI It also evaluates the legal issues regarding the training of AI models, with a focus on copyright, the assessment of the fair use defense and the problems of scraping
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New York Times to Launch AI Ad Tool #AdvertisingEvolution ?? Follow us on Discord ??: https://lnkd.in/gt823Zd3 ?? Follow us on Whatsapp ?? https://wapia.in/wabeta _ ?? Summary: The New York Times is developing a new ad-targeting tool that uses generative artificial intelligence to recommend where an ad campaign would see greater success based on the messaging of the advertisement. The tool will also be used to identify niche audiences. The Times is recruiting advertising partners to participate in the experiment, which will likely begin in the second quarter of 2024. This comes after the Times filed a lawsuit against Microsoft and OpenAI over copyright infringement related to AI tools. Hashtags: #chatGPT #AIadvertising #NYTinnovation
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Major digital platforms, including YouTube, Meta, and TikTok, have recently updated their policies to include labeling of #AI-generated content. These updates reflect a trend within the industry toward providing clear disclosures to users about the nature of the content they are viewing. These changes also come as new laws, such as the #EUAIAct, require watermarking of #AI -generated content. Associate Joseph Cahill shares his thoughts:
Is Human-Created Content a New Premium Product?
ourtakeonai.bakerbotts.com
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Ninety-one percent of U.S. advertising agencies are either currently using (61%) generative artificial intelligence (AI) or exploring use cases (30%) for the tech, outpacing other groups including marketing organizations and the general business population, per a recent Forrester report.? Large agencies are further along the generative AI adoption path, with 78% of respondents at agencies with more than 201 employees saying they leverage the tech compared to only 53% of small agencies, or those with less than 50 employees.?? More than half of respondents expect generative AI to have significant or very significant impact on key aspects of their agency’s ecosystem in the next two years, though concerns remain around legal liabilities, copyright infringement, data privacy and security.
Forrester: 91% of US ad agencies are currently using, exploring generative AI
marketingdive.com
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Credtent's Content Origin Badges are free to use commercially and gaining traction by the day. If you use #AI in your creative work, it's time to disclose that to your audience and there's no easier way to ensure AI transparency. #artificialintelligence #creators #media #publishers #contentmarketing https://lnkd.in/gBjVKKVd
Credtent, Inc. Launches Content Origin Badges, Raising the Bar for AI Transparency
financialpost.com
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TikTok has announced a new policy aimed at addressing the rise of AI-generated content (AIGC) on its platform. The company will now label content created using artificial intelligence that is uploaded from sources outside of TikTok itself. This move is part of TikTok's effort to combat misinformation and provide transparency to its users. In a statement released on Thursday, TikTok emphasized the importance of labeling AI-generated content to ensure viewers are aware of its origins. The company acknowledged the creative potential of AI but also highlighted the potential for confusion or misleading information if the nature of the content is not made clear. This policy shift aligns with broader industry trends towards establishing safeguards for AI usage. Meta, for instance, has announced collaboration with industry partners to develop technical standards for identifying AI-generated images, videos, and eventually audio across its platforms like Facebook and Instagram. Google has also indicated plans to introduce AI labels on YouTube and other platforms. TikTok's partnership with the Coalition for Content Provenance and Authenticity involves the use of Content Credentials technology. This technology enables the attachment of metadata to content, facilitating the identification and labeling of AI-generated material. TikTok has already started deploying this technology on images and videos, with plans to extend it to audio-only content soon. By implementing Content Credentials, TikTok aims to enhance AI transparency and empower users to distinguish between authentic and AI-generated content. This move is seen as a significant step in navigating an increasingly AI-driven digital landscape. Furthermore, TikTok's proactive stance on AI transparency has gained support from industry experts like Claire Leibowicz from the Partnership on AI. The company's collaboration with the Content Authenticity Initiative led by Adobe underscores its commitment to promoting transparency and trust within the online community. TikTok's policy update coincides with ongoing legal challenges, including a lawsuit against a new American law that could potentially lead to its ban in the U.S. These developments underscore the complex landscape that platforms like TikTok navigate, balancing innovation, transparency, and regulatory compliance.
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TikTok has announced a new policy aimed at addressing the rise of AI-generated content (AIGC) on its platform. The company will now label content created using artificial intelligence that is uploaded from sources outside of TikTok itself. This move is part of TikTok's effort to combat misinformation and provide transparency to its users. In a statement released on Thursday, TikTok emphasized the importance of labeling AI-generated content to ensure viewers are aware of its origins. The company acknowledged the creative potential of AI but also highlighted the potential for confusion or misleading information if the nature of the content is not made clear. This policy shift aligns with broader industry trends towards establishing safeguards for AI usage. Meta, for instance, has announced collaboration with industry partners to develop technical standards for identifying AI-generated images, videos, and eventually audio across its platforms like Facebook and Instagram. Google has also indicated plans to introduce AI labels on YouTube and other platforms. TikTok's partnership with the Coalition for Content Provenance and Authenticity involves the use of Content Credentials technology. This technology enables the attachment of metadata to content, facilitating the identification and labeling of AI-generated material. TikTok has already started deploying this technology on images and videos, with plans to extend it to audio-only content soon. By implementing Content Credentials, TikTok aims to enhance AI transparency and empower users to distinguish between authentic and AI-generated content. This move is seen as a significant step in navigating an increasingly AI-driven digital landscape. Furthermore, TikTok's proactive stance on AI transparency has gained support from industry experts like Claire Leibowicz from the Partnership on AI. The company's collaboration with the Content Authenticity Initiative led by Adobe underscores its commitment to promoting transparency and trust within the online community. TikTok's policy update coincides with ongoing legal challenges, including a lawsuit against a new American law that could potentially lead to its ban in the U.S. These developments underscore the complex landscape that platforms like TikTok navigate, balancing innovation, transparency, and regulatory compliance.
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Meta Implements Stricter Labeling Rules for AI-Gen Content Meta announced it will begin requiring labeling for a wider range of video, audio and image content on Facebook, Instagram and Threads as “Made with AI” when its detects industry standard AI image indicators, or when people disclose that they’re uploading AI-generated content. “We agree with the [company’s] Oversight Board’s argument that our existing approach is too narrow since it only covers videos that are created or altered by AI to make a person appear to say something they didn’t say,” Monika Bickert, Meta’s Vice President of Content Policy announced. “Our manipulated media policy was written in 2020 when realistic AI-generated content was rare and the overarching concern was about videos,” Bickert?writes. “In the last four years, and particularly in the last year, people have developed other kinds of realistic AI-generated content like audio and photos, and this technology is quickly evolving. As the Board noted, it’s equally important to address manipulation that shows a person doing something they didn’t do.” Meta plans to start the broader requirements for labels on AI-generated content in May. https://lnkd.in/e3n-8DGs
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?? YouTube Introduces AI Disclosure Requirements: Implications for Audience Development and Public Service Broadcasters ?? YouTube, a leading platform in the digital content landscape, has announced significant updates regarding the disclosure of AI-generated content. This development marks a pivotal moment in the ongoing efforts to enhance transparency and combat misinformation within online ecosystems. Under the new requirements, YouTube creators will now be mandated to disclose instances where their uploaded content features realistic-looking material generated through AI tools. This includes scenarios where the content has been altered or synthetically created to simulate authentic footage or depictions. By implementing these measures, YouTube aims to mitigate the spread of deepfakes and misinformation, thereby fostering trust and accountability between creators and their audiences. For Public Service Broadcasters (PSBs), these disclosure requirements present both challenges and opportunities. On one hand, the potential misuse of AI-generated content poses a threat to the integrity of factual reporting and information dissemination. However, by adhering to these disclosure guidelines, PSBs can reinforce their commitment to transparency and ethical journalism, thereby bolstering trust among viewers. Moreover, the introduction of AI disclosure requirements underscores the growing importance of vigilance and accountability in the digital content landscape. As AI technology advances, the ability to discern between real and synthetic content becomes increasingly challenging. Therefore, it is imperative for PSBs and content creators alike to remain vigilant and proactive in upholding ethical standards and ensuring the authenticity of their content. In light of these developments, it is clear that transparency and disclosure are paramount in maintaining the integrity of online platforms and safeguarding the interests of audiences. Moving forward, collaboration between platforms, creators, and regulatory bodies will be essential in addressing the evolving challenges posed by AI-generated content and promoting responsible content practices. As we navigate this evolving landscape, let us remain committed to the principles of transparency, accountability, and ethical content creation, ensuring that the digital space remains a trusted source of information and entertainment for audiences worldwide.
YouTube Launches AI Disclosure Requirements
socialmediatoday.com
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This is something the SEO industry will need to navigate as well, I'm sure. SEOs and SEMs should divulge when they plan to use AI in any of the services they are providing and people getting those services should know where AI is being used. Though I disagree that it can't be used internally -- but on any product going out the door? That should be known.
Brands waking up to the ethics and brand equity dumpster fire and IP leak hazard that is #degenerativeai. Heartening. Ad Age reports: “Recently, we won three new pieces of business and in the [master service agreement] it says, ‘you’re not allowed to use AI of any kind, without prior authorization,’” said one independent ad agency CEO, who spoke with Ad Age on condition of anonymity to protect the identities of clients. “So, that even means they don’t want us to use AI to help work on concepts, not just anything that goes out the door.” The agency is not alone, as these strict AI terms are becoming more common, according to ad industry leaders. Last year, the Association of National Advertisers updated its guidance to brands, advising them to include clauses about AI and consent in their agency deals. Now, those restrictions are being applied. “There is this juxtaposition of agencies ramping up their AI knowledge and usage, and then clients clamping it down,” the agency CEO said.”
Brands add AI restrictions to agency contracts—behind the growing trend
adage.com
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The new #YouTube policy requires content creators to add a #label to their videos if AI tools are used. I hope this will soon become an industry norm, as demand for platform transparency around AI-generated content increases. https://lnkd.in/dCeW-K4s
YouTube adds new AI-generated content labeling tool
theverge.com
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AI Governance Manager at Informa | PhD | Privacy & AI
5 个月https://www.iab.com/guidelines/legal-issues-and-business-considerations-when-using-generative-artificial-intelligence-in-digital-advertising/