Although there is no direct case law on liability using medical AI, the recent products liability case Dickson v. Dexcom Inc. may hold some lessons on future liability risk for manufacturers incorporating AI or machine learning (ML) technologies, according to Sara Gerke and David Simon. This legal finding could influence which products in this space are developed and marketed, with impacts on research and development and resulting benefits to the public. In this Policy Forum, Gerke and Simon discuss the case, which is the first to hold that federal law can preempt personal injury lawsuits under state law when the Food and Drug Administration codifies regulations applicable to a Class II medical device authorized through its De Novo pathway. De Novo classification requests are made for devices that cannot seek the FDA’s Premarket Notification or 510(k) approval pathway – because there are no devices substantially equivalent to it on the market – but are not deemed risky enough to require FDA Premarket Approval (PMA). New technologies such as digital therapeutics are often approved under the De Novo pathway, and Gerke et al. note that “AI/ML-enabled device manufacturers are utilizing the De Novo pathways over three times more than most device manufacturers.” Dickson may shed light on how courts address liability issues with these devices in the future, the authors conclude.

Households affected by high electricity prices during the energy crisis tend to be more negative towards climate policy. Research from the School of Business, Economics and Law at the University of Gothenburg shows that perceived unfairness reinforces misconceptions about fuel taxes.

When it comes to family leave, American fathers are left behind.

In a survey of new fathers led by scientists at Northwestern University and Ann & Robert H. Lurie Children’s Hospital of Chicago, 64% of fathers reported taking less than two weeks of leave or no leave after the birth of their child. Only 36% of dads reported taking more than two weeks of leave. The survey is the first of a state-representative sample of fathers. 

New model can help farmers decide whether cover crops are economically beneficial - or not.