ACI National Conference on AI Law, Ethics, and Compliance: Preventing and Detecting BIAS in Algorithms, Testing, and AI Outputs

Bradley Merrill Thompson, Member of the Firm, co-presents "Preventing and Detecting BIAS in Algorithms, Testing and AI Outputs: Redefining Your Approach to Resolving New, Emerging Legal and Compliance Dilemmas," at ACI's National Conference on AI Law, Ethics, and Compliance, which runs from October 31 to November 1.

Topics include:

• Understanding new Ai anti-bias laws and identifying the efficacy of preventing potential bias and discrimination with the use of AI
• Developing best practices to enhance AI algorithms and mitigate biases
• Algorithmic decision-making, testing automated decision-making systems for bias, discrimination, and privacy weaknesses
• Identifying which restrictions are advisable regarding inclusion of personal info in AI inputs and how to prevent personal info from being included in AI Outputs
• AI testing methodologies that hit reasonableness standards, fairness, accuracy
• Identifying which characteristics are used during the development stage and how to recognize bias in the data
• Reviewing the data in AI algorithms and determining whether the data is reliable
• Understanding the use of AI in the workplace; privacy, labor, and employment

For more information, visit AmericanConference.com.