Skip to content

Artificial Intelligence

Subscribe to Artificial Intelligence
Annotation 2023-03-16 100028

On February 27, 2023, the Federal Trade Commission (“FTC”) Division of Advertising Practices updated their business guidance on the usage of Artificial Intelligence (“AI”) for 2023. In their post titled “Keep your AI claim in check”, the FTC guides marketers on how best to legally and efficiently utilize AI in advertising and avoid AI washing. Building upon the FTC’s previous AI guidance of 2020 and 2021, this year’s iteration emphasizes that false or unsubstantiated claims about a product’s efficacy—including those that involve promises about the ability of AI—runs afoul of the FTC Act. Specifically, the FTC reminds marketers of the following questions that they should consider with the increasing use of AI in products:…

Continue Reading Everyone’s Talking AI, Including the FTC: Key Takeaways from the FTC’s 2023 AI Guidance

Federal Trade Commission

This week, the Commission announced that it blocked a hospital merger in Utah and New Jersey and ordered an oil and gas divestiture in Michigan. The FTC also issued a policy statement on exclusionary rebates and fees in prescription drug pricing and submitted a report to Congress on combatting online harms through innovation. Commissioner Noah Joshua Phillips issued a dissenting statement regarding the FTC’s report to Congress, and Commissioner Christine Wilson questioned whether the FTC’s Fuel Rating Rule under the Petroleum Marketing Practices Act is necessary. These stories and more after the jump. …

Continue Reading FTC Updates (June 13-17, 2022)

Federal Trade Commission

Tuesday, November 2, 2021

Deceptive or Misleading Conduct & Consumer Protection

  • The FTC recently issued full refunds totaling over $2 million to consumers who lost money through certain deceptive direct mail schemes. The agency recovered the refunds via a federal district court order resulting from the FTC’s lawsuit against Agora Financial, LLC, NewMarket Health, and other defendants. The lawsuit was based upon two publications defendants marketed to older consumers. One publication contained a protocol promising to permanently cure type 2 diabetes in 28 days, while the other promised to show how to claim money from a secret giveaway by Congress. The FTC obtained the order including consumer refunds before the Supreme Court stripped the agency of its ability to obtain equitable monetary relief in federal court in the April 22, 2021 AMG Capital decision. Congress has not yet acted on the FTC’s request to reinstate this power.

…
Continue Reading FTC Updates (November 1-5, 2021)

On May 21, 2021, the U.S. Consumer Products Safety Commission (“CPSC”) published a report on artificial intelligence (AI) and machine learning (ML) in consumer products. The report highlights recent CPSC staff activity concerning AI and ML, proposes a framework for evaluating the potential safety impact of AI and ML capabilities in consumer products, and makes several recommendations that the CPSC can take in identifying and addressing potential hazards related to AI and ML capabilities in consumer products.

Concerning staff activity, CPSC recently hired a Chief Technologist with a background in AI and ML to address the use of AI in consumer products. The CPSC also recently established an “AI/ML Working Group” and held a virtual forum on AI and ML in March 2021.

Informed by the discussions held with various stakeholders at this forum, the CPSC staff has proposed a framework in the report for evaluating the potential safety impact of AI and ML in consumer products. The framework’s first step involves screening products for AI and ML “components.” The CPSC and stakeholders have identified the following components to be essential to producing an AI capability: data sources, algorithms, computations, and connections. Likewise, the CPSC and stakeholders have found the following components to define ML capabilities: assessing and monitoring outputs, analyzing and modeling changes, and adjusting and adapting behavior over time. The framework’s second step involves assessing the functions and features of consumer products’ AI and ML capabilities. The third step involves understanding how products’ AI and ML capabilities may impact consumers, which can be accomplished by studying the nature of the technology, how it is implemented in the product, and how the consumer might use the product. The final step involves ascertaining if, and to what extent, AI and ML capabilities may transform the product and/or its use over time.
Continue Reading CPSC Publishes Report on Artificial Intelligence and Machine Learning

This article was originally published in Automotive World.

The future of the mobility is dependent on AI, but without greater understanding among consumers, trust could be hard to build.

The mobility sector is keen to realise the full benefits of artificial intelligence (AI), not least to open up the revenues which data-driven connected services could offer. But moving forward, it must balance these opportunities with the rights of drivers, passengers and pedestrians. A number of concerns have already surfaced, all of which will become more pressing as the technology is further embedded into vehicles, mobility services and infrastructure.

Privacy and liability are two of the major challenges. As Christian Theissen, Partner, White & Case explains, mobility has become inherently connected to consumer habits and behavioural patterns, much like the e-commerce and social media industries. “The access, ownership, storage and transmission of personal data, such as driving patterns, must be taken into consideration by both lawmakers and companies gathering and using data,” he says. Meanwhile, in a world of AI-powered self-driving, at what point do regulators start blaming the machine when something goes wrong?

Automakers must build knowledge

Part of the challenge in considering these issues is that as things stand, there is limited understanding among consumers around what rights there are. “Consumers appreciate AI,” says Cheri Falvey, Partner, Crowell & Moring, “and in particular the ease with which navigational apps help guide them to their destination. Whether they appreciate how their data is accumulating and developing a record of their mobility patterns, and what their rights are in respect to that data, is another question.”

There is often little precedent for regulators to rely on when making new policy in this arena, so it’s a good time to create a proactive regulatory strategy that invites discussion and collaboration from the start

This is in part because it is not always clear when AI is at work. A driver may register when a car’s navigation system learns the way home, but won’t necessarily realise that data on how a car is driven is being collected for predictive maintenance purposes, or that their data is being fed into infrastructure networks to manage traffic flow.…

Continue Reading Automakers and Regulators Must Educate Consumers on Mobility AI