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Artificial Intelligence in Health Care: Framework Needed

Although the incorporation of technology into human endeavours—commercial, political and personal—is a normal component of technological innovation, the advent of artificial intelligence technology is producing significant challenges we have not felt or understood with earlier innovations. For many years, for example, there has been speculation, research and public debate about the impact of the internet, the functioning of search engines, and online advertising techniques on commercial and political decisions.

The alleged “hacking” of the 2016 US presidential election, and the concerns about such activities in the 2017 European elections, will only heighten the interweaving discussions on free speech, national sovereignty, cyber security and the nature of privacy.

The use of artificial intelligence and machine-learning technologies has only added to the list of issues and areas of concern. The consequences of automobile accidents involving “self-driving” technologies, the “flash crashes” on securities markets due to algorithmic trading, and bias in systems designed to determine benefit eligibility, are requiring us to consider what happens when we defer judgment to machines, and highlighting the importance of quality in data sets and sensors.

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New York AG Settlement with App Developers Serves as a Warning for the Need for Evidence-Backed Commercial Claims

On March 23, 2017, the New York Attorney General’s office announced that it has settled with the developers of three mobile health (mHealth) applications (apps) for, among other things, alleged misleading commercial claims. This settlement highlights for mHealth app developers the importance of systematically gathering sufficient evidence to support their commercial claims.

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