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April 27, 2022

AI, Algorithms & Unintended Bias: Understanding and Responding to Emerging Regulations on Automated Decision-Making



As more organizations use artificial intelligence and algorithms to drive decision-making processes, new regulatory requirements aimed at these tools — and particularly their potential for producing unintended bias — are hitting the wire daily. Companies across industries are facing the pressure to respond to and comply with these fast-moving regulatory developments. They often lack the technical proficiency needed to protect their business from regulatory, litigation and reputational risk.

In the absence of clear regulatory guidance and standards, industry and legal stakeholders are struggling with how to address concerns about algorithmic fairness, leading to increase regulatory and reputational risk.  This is an important societal issue of deep concern to organizations and everyone in the legal profession should be monitoring developments in these increasingly high-profile issues.

  • Attorneys must understand the risks related to automated decision-making. 
  • Legal teams must keep up with and track the latest regulatory developments. 
  • Law firms need to protect their clients as they leverage the value of AI and algorithms. 

Hear from industry leaders with regulatory, litigation and data science experience on topics including:

  • The ethics of AI and automated decision-making.
  • Balancing legal and ethical concerns with business objectives.
  • Common data science terms and algorithmic concepts and their uses.
  • Relevant information on current regulatory efforts around automated decision-making.
  • An approach to identifying and mitigating risk in the use of AI and algorithms.


10:00 – 11:30 a.m. PT  
11:00 a.m. – 12:30 p.m. MT
12:00 – 1:30 p.m. CT
1:00 – 2:30 p.m. ET
6:00 – 7:30 p.m. BST


  • Bennett B. Borden – Faegre Drinker Partner, Chief Data Scientist, Founder of Tritura
  • Scott M. Kosnoff – Faegre Drinker Partner
  • Samantha C. Tyner, Ph.D. – Tritura Data Scientist

Have a scheduling conflict? Register for the live event, and we’ll send you the on-demand recording shortly after the broadcast date.

Questions? Please contact Mesha Hegna Goodwill or call +1 612 766 7145.

Continuing Education Credit

This program has been approved only for the following continuing legal education credits: 

  • California: 1.5 hour participatory general credit
  • Connecticut: 1.5 hour participatory general credit
  • Illinois: 1.5 hour ethics live credit
  • New Jersey: 1.5 reciprocal hour of CLE Credit
  • New York: 1.5 reciprocal hour of professional practice credit 

An application for approval of this course has been submitted and is pending in the following states: Colorado, Delaware, Indiana, Iowa, Minnesota, Pennsylvania, Texas and Virginia.

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