Articles Posted in Artificial Intelligence

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Can AI build AI, what does an augmented reality theater production look like, what is the “quantum apocalypse,” and more…

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Algorithm-ai-box-460688633-300x220Regulators at the state and federal level are increasing their scrutiny of businesses’ use of artificial intelligence (AI). For example, recently, representatives from the Office of the Comptroller of the Currency and the New York State Department of Financial Services discussed the need for developing additional AI guidance.

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EU-artificial-intelligence1138358728-300x198With artificial intelligence (AI) becoming more and more embedded in our everyday lives, there has been a corresponding need for regulations that foster AI development and adoption in a responsible manner. The question is how governments should approach such regulation.

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As the use of biometric information such as fingerprints, iris scans, facial scans, and voice prints becomes more and more common, so, too, have the number of lawsuits brought for the unauthorized use of private information and for the violation of privacy laws—including class action lawsuits. In “The Duty to Defend a Privacy Claim Arises from Even Limited Publication of Biometric Identifiers,” our colleague Sandra Kaczmarczyk examines an important recent Illinois Supreme Court decision that is “likely to be at the forefront of future coverage litigation as other state courts grapple with the coverage afforded by business insurance policies for privacy claims.”

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2000px-US-FederalTradeCommission-Seal_svg-300x300It might be a little meta to have a blog post about a blog post, but there’s no way around it when the FTC publishes a post to its blog warning companies that use AI to “[h]old yourself accountable—or be ready for the FTC to do it for you.” When last we wrote about facial recognition AI, we discussed how the courts are being used to push for AI accountability and how Twitter has taken the initiative to understand the impacts of its machine learning algorithms through its Responsible ML program. Now we have the FTC weighing in with recommendations on how companies can use AI in a truthful, fair and equitable manner—along with a not-so-subtle reminder that the FTC has tools at its disposal to combat unfair or biased AI and is willing to step in and do so should companies fail to take responsibility.

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Smiling black man in white t-shirt looking to the side (right). Surrounded by images evoking personal info like mapsAs part of our on-going coverage on the use and potential abuse of facial recognition AI, we bring you news out of Michigan, where the University of Michigan’s Law School, the American Civil Liberties Union (ACLU) and the ACLU of Michigan have filed a lawsuit against the Detroit Police Department (DPD), the DPD Police Chief, and a DPD investigator on behalf of Robert Williams—a Michigan resident who was wrongfully arrested based on “shoddy” police work that relied upon facial recognition technology to identify a shoplifter.

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Sand in hand on a black backgroundInteractive online platforms have become an integral part of our daily lives. While user-generated content, free from traditional editorial constraints, has spurred vibrant online communications, improved business processes and expanded access to information, it has also raised complex questions regarding how to moderate harmful online content. As the volume of user-generated content continues to grow, it has become increasingly difficult for internet and social media companies to keep pace with the moderation needs of the information posted on their platforms. Content moderation measures supported by artificial intelligence (AI) have emerged as important tools to address this challenge.

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Machine-learning-1079012838-300x209One of the biggest obstacles self-driving cars have to get around is the one between our ears. Even as these vehicles are hitting the streets in pilot projects, three out of four Americans aren’t comfortable with the idea of their widespread use.

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Facial-recognition-bias-1190624951-300x213The sweeping use of facial recognition software across public and private sectors has raised alarm bells in communities of color, for good reason. The data that feed the software, the photographic technology in the software, the application of the software—all these factors work together against darker-skinned people.

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GettyImages-1269726290-scaled-e1606147822524-300x219As research continues to prove that AI is not an impartial arbiter of who’s who (or who’s what), various mechanisms are being devised to mitigate the collateral damage from facial recognition software.

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