This quarterly update summarizes key federal legislative and regulatory developments in the second quarter of 2022 related to artificial intelligence (“AI”), the Internet of Things, connected and automated vehicles (“CAVs”), and data privacy, and highlights a few particularly notable developments in U.S. state legislatures. To summarize, in the second quarter of 2022, Congress and the Administration focused on addressing algorithmic bias and other AI-related risks and introduced a bipartisan federal privacy bill.
On December 23, 2020, the European Commission (the “Commission”) published its inception impact assessment (“Inception Impact Assessment”) of policy options for establishing a European Health Data Space (“EHDS”). The Inception Impact Assessment is open for consultation until February 3, 2021, encouraging “citizens and stakeholders” to “provide views on the Commission’s understanding of the current situation, problem and possible solutions”.
Continue Reading AI Update: European Commission Conducts Open Consultation on the European Health Data Space Initiative
In what is expected to be one of the last meetings under the leadership of current Federal Communications Commission (“FCC”) Chairman Ajit Pai, the agency will consider adopting a Notice of Proposed Rulemaking (“NPRM”) that proposes to modify certain aspects of the FCC’s device authorization rules. Specifically, the NPRM will propose to allow the importation and conditional marketing and sales of radiofrequency (“RF”) devices that have not yet been approved under the FCC’s rules. If the rule is ultimately changed, that means companies marketing RF devices for the first time will have the same flexibility enjoyed by some car companies and many other manufacturers to offer a product to the public before it actually can be shipped for use.
Continue Reading FCC Plans to Advance Proposal to Change Device Marketing Rules
NHSX recently published “A Buyer’s Checklist for AI in Health and Care” (Guidance) that sets out 10 key questions which will be of use to parties deploying AI solutions or conducting data driven projects (in a health and care setting or otherwise). For example, the Guidance highlights:
- key data-related considerations, such