artificial intelligence

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On July 12, 2023, Nikhil Rathi, the CEO of the UK’s Financial Conduct Authority (“FCA”) delivered a speech on the FCA’s regulatory approach to Big Tech and Artificial Intelligence (“AI”). Below are some of the key points discussed at the event:

  • AI and Market Integrity
    • …

    Within the rapidly evolving artificial intelligence (“AI”) legal landscape (as explored in Proskauer’s “The Age of AI” Webinar series), there is an expectation that Congress may come together to draft some form of AI-related legislation. The focus is on how generative AI (“GenAI”) in the last six months or so has already created new legal, societal, and ethical questions.

    Intellectual property (“IP”) protection – and, in particular, copyright – has been a forefront issue. Given the boom in GenAI, some content owners and creators, have lately begun to feel that AI developers have been free riding by training GenAI datasets off a vast swath of web content (some of it copyrighted content) without authorization, license or reasonable royalty. Regardless of whether certain GenAI tools’ use of web-based training data and the tools’ output to users could be deemed infringement or not (such legal questions do not have simple answers), it is evident that the rollout of GenAI has already begun to affect the vocations of creative professionals and the value of IP for content owners, as AI-created works (or hybrid works of human/AI creation) are already competing with human-created works in the marketplace. In fact, one of the issues in the Writers Guild of America strike currently affecting Hollywood concerns provisions that would govern the use of AI on projects.

    On May 17, 2023, the House of Representatives Subcommittee on Courts, Intellectual Property, and the Internet held a hearing on the interoperability of AI and copyright law. There, most of the testifying witnesses agreed that Congress should consider enacting careful regulation in this area that balances innovation and creators’ rights in the context of copyright. The transformative potential of AI across industries was acknowledged by all, but the overall view was that AI should be used as a tool for human creativity rather than a replacement. In his opening remarks, Subcommittee Chair, Representative Darrell Issa, stated that one of the purposes of the hearing was to “address properly the concerns surrounding the unauthorized use of copyrighted material, while also recognizing that the potential for generative AI can only be achieved with massive amounts of data, far more than is available outside of copyright.” The Ranking Member of the Subcommittee, Representative Henry Johnson, expressed an openness for finding middle ground solutions to balance IP rights with innovation but stated one of the quandaries voiced by many copyright holders as to GenAI training methods: “I am hard-pressed to understand how a system that rests almost entirely on the works of others, and can be commercialized or used to develop commercial products, owes nothing, not even notice, to the owners of the works it uses to power its system.”

    ChatGPT has quickly become the talk of business, media and the Internet – reportedly, there were over 100 million monthly active users of the application just in January alone.

    While there are many stories of the creative, humorous, apologetic, and in some cases unsettling interactions with ChatGPT,[1] the potential business applications for ChatGPT and other emerging generative artificial intelligence applications (generally referred to in this post as “GAI”) are plentiful. Many businesses see GAI as a potential game-changer.  But, like other new foundational technology developments, new issues and possible areas of risk are presented.

    ChatGPT is being used by employees and consultants in business today.  Thus, businesses are well advised to evaluate the issues and risks to determine what policies or technical guardrails, if any, should be imposed on GAI’s use in the workplace.

    On January 7, 2019, the federal Office of Management and Budget (OMB) released a draft of a memorandum setting forth guidance to assist federal agencies in developing regulatory and non-regulatory approaches regarding artificial intelligence (AI).  This draft guidance will be available for public comment for sixty days, after which it will be finalized and issued to federal agencies.

    According to the draft, the guidance was developed with the intent to reduce barriers to innovation while also balancing privacy and security concerns and respect for IP. The proposed guidance features ten principles to guide regulatory approaches to AI applications.  In addition, in what may be a boon for those in the private sector developing AI infrastructure, the OMB reinforces the objective of making federal data and models generally available to the private sector for non-federal use in developing AI systems.

    Initial responses to the proposed guidance has been mixed, and it remains to be seen how the principles in the guidance (when finalized) will be put in practice. Notably, however, those who intend to invest significant resources in AI-based infrastructure should be aware of what may prove to be the emerging blueprint for AI regulation in the near future.

    It is that time of year when we look back to see what tech-law issues took up most of our time this year and look ahead to see what the emerging issues are for 2020.

    Data: The Issues of the Year

    Data presented a wide variety of challenging legal issues in 2019. Data is solidly entrenched as a key asset in our economy, and as a result, the issues around it demanded a significant level of attention.

    • Clearly, privacy and data security-related data issues were dominant in 2019. The GDPR, CCPA and other privacy regulations garnered much consideration and resources, and with GDPR enforcement ongoing and CCPA enforcement right around the corner, the coming year will be an important one to watch. As data generation and collection technologies continued to evolve, privacy issues evolved as well.  In 2019, we saw many novel issues involving mobile, biometric and connected cars. Facial recognition technology generated a fair amount of litigation, and presented concerns regarding the possibility of intrusive governmental surveillance (prompting some municipalities, such as San Francisco, to ban its use by government agencies).
    • Because data has proven to be so valuable, innovators continue to develop new and sometimes controversial technological approaches to collecting data. The legal issues abound.  For example, in the past year, we have been advising on the implications of an ongoing dispute between the City Attorney of Los Angeles and an app operator over geolocation data collection, as well as a settlement between the FTC and a personal email management service over access to “e-receipt” data.  We have entertained multiple questions from clients about the unsettled legal terrain surrounding web scraping and have been closely following developments in this area, including the blockbuster hiQ Ninth Circuit ruling from earlier this year. As usual, the pace of technological innovation has outpaced the ability for the law to keep up.
    • Data security is now regularly a boardroom and courtroom issue, with data breaches, phishing, ransomware attacks and identity theft (and cyberinsurance) the norm. Meanwhile, consumers are experiencing deeper and deeper “breach fatigue” with every breach notice they receive. While the U.S. government has not yet been able to put into place general national data security legislation, states and certain regulators are acting to compel data collectors to take reasonable measures to protect consumer information (e.g., New York’s newly-enacted SHIELD Act) and IoT device manufacturers to equip connected devices with certain security features appropriate to the nature and function of the devices secure (e.g., California’s IoT security law, which becomes effective January 1, 2020). Class actions over data breaches and security lapses are filed regularly, with mixed results.
    • Many organizations have focused on the opportunistic issues associated with new and emerging sources of data. They seek to use “big data” – either sourced externally or generated internally – to advance their operations.  They are focused on understanding the sources of the data and their lawful rights to use such data.  They are examining new revenue opportunities offered by the data, including the expansion of existing lines, the identification of customer trends or the creation of new businesses (including licensing anonymized data to others).
    • Moreover, data was a key asset in many corporate transactions in 2019. Across the board in M&A, private equity, capital markets, finance and some real estate transactions, data was the subject of key deal points, sometimes intensive diligence, and often difficult negotiations. Consumer data has even become a national security issue, as the Committee on Foreign Investment in the United States (CFIUS), expanded under a 2018 law, began to scrutinize more and more technology deals involving foreign investment, including those involving sensitive personal data.
    • For more information about developments over the past year on data-related issues, and to keep abreast on new developments in the future, you may want to subscribe to Proskauer’s privacy blog, privacylaw.proskauer.com. You may also want to review our Practical Law article “Trends in Privacy and Data Security:2018” and get a hold of our update that will publish in winter 2020.

    I am not going out on a limb in saying that 2020 and beyond promise many interesting developments in “big data,” privacy and data security.