Common Themes Emerge in State AI Legislation

Artificial intelligence is the "it" topic in statehouses this year with lawmakers everywhere considering proposals to regulate the rapidly evolving technology.

There's a lot of legislation to keep track of. Fortunately, the International Association of Privacy Professionals recently took the time to categorize some of the main types of bills aimed at regulating the use of AI in the private sector.

Algorithmic Discrimination Bills

• Perhaps the biggest concern legislators have about AI is the potential for it to be discriminatory. As such, there are several bills targeting what's known as "algorithmic discrimination."
• California AB 2930 would require AI developers to formally assess and report the impacts of their automatic decision-making programs.
• Connecticut SB 2 would establish reporting requirements for developers who rely on AI as "a controlling factor" in the making of any "consequential decision."
• Companion measures in Hawaii, HB 1607 and SB 2524, would bluntly outlaw algorithmic discrimination.
• Illinois HB 5116 and HB 5322 would require AI developers to annually assess the impact of any automated decision-making tools they deploy.
• Oklahoma HB 3835 would also require AI developers to assess the impact of their decision-making tools.
• Vermont HB 710 and HB 711 would essentially require developers to use reasonable care to avoid algorithmic discrimination.

Read the rest of this story at State Net Capitol Journal. Originally published April 17, 2024; used with permission.