Despite Google’s recent dissolution of its artificial intelligence (AI) ethics board, IT vendors (including Google) are increasingly defining principles to guide the development of AI applications and solutions. And it’s worth taking a look at what these principles actually say.
Latest in Artificial Intelligence
On Feb. 11, President Trump issued a new executive order regarding artificial intelligence (AI).
On Feb. 11, the White House released an executive order on “Maintaining American Leadership in Artificial Intelligence” (AI)—the latest attempt to develop a national strategy for AI.
On Monday, President Trump issued the following executive order on artificial intelligence. The White House provided a summary of the order, and the full order is below.
White House Summary
This month, the Defense Advanced Research Projects Agency (DARPA) will assess the first phase of its Explainable AI program—a multi-year, multi-million dollar effort to enable artificial intelligence (AI) systems to justify their decisions.
A recent post on the New York Times’s At War blog begins with this hypothetical scenario:
In my first post in this series, I wrote that one definition of artificial intelligence (AI) is a machine that thinks. But is it? Several people with technical backgrounds in the AI field reached out to me after reading that post. One comment I received that I found striking is that AI is neither A nor I. Instead, it is just computer code. Nothing is thinking; a computer is just following directions. And AI is just inputs to outputs for a goal.
This is the third post in my series about the counterintelligence implications of artificial intelligence (AI). The first two are here and here. I’ll start this one with a story.
Chinese human rights practices are in the news again. The White House is reportedly weighing sanctions against Chinese officials and companies that are engaged in or facilitating the mass surveillance and detention of Uighurs in the Xinjiang Uighur Autonomous Region (XUAR).
In the first part of this series on the counterintelligence implications of artificial intelligence (AI), I discussed AI and counterintelligence at a high level and described some features of each that I think are particularly relevant to understanding the intersection between the two fields. That general discussion leads naturally to one particular counterintelligence question related to AI: How do we identify, understand and protect our most valuable AI assets?