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[Virtual Briefing] Achieving Legal Compliance in AI: Minimizing Bias in Algorithms - June 29th, 1:00 pm - 3:30 pm ET

We’ve all heard troubling stories involving emerging tools powered by artificial intelligence (AI), in which algorithms yield unintended, biased, or erroneous results. Here are a few examples: - A monitoring tool for...more

FTC Enforcement Highlights the Importance of Preserving Privacy in AI Development: How to Avoid AI Model Destruction

The success of an artificial intelligence (AI) algorithm depends in large part upon trust, yet many AI technologies function as opaque ‘black boxes.’ Indeed, some are intentionally designed that way. This charts a mistaken...more

[Webinar] Explainable Artificial Intelligence and Transparency: Legal Risks and Remedies for the “Black Box” Problem - June 9th,...

Artificial intelligence (AI) and machine-learning algorithms are powerful tools that can automate or inform decision-making. At the same time, those algorithms can be quite complex and appear to be a “black box”—inscrutable...more

[Virtual Roundtable] NIST’s Proposal on Bias in Artificial Intelligence Roundtable - July 27th, 12:00 pm - 1:00 pm ET

The effects of algorithmic and data biases continue to make headlines and erode public trust in artificial intelligence (“AI”). Recruiting software unfairly discriminates against women and minorities, facial recognition tools...more

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