Artificial Intelligence
Guardrails around a fast-moving technology, without shutting down innovation. Here is where we stand.
The Issue
How are we going to regulate artificial intelligence? How can we put badly needed guardrails around this rapidly developing technology while also fostering innovation? Then there are the issues of job displacement and the challenges young people will face getting jobs because of AI. Data centers are front page news as well.
Where We Stand
Here at RDM, one of our four core pillars is People Matter. In the context of AI, this means that people’s safety, welfare, and ability to earn a living must be prioritized. We are not against AI, but we believe the business of AI should be a humanistic one that considers its impact on people and their communities.
The Solutions
A comprehensive federal framework should be implemented, because various states implementing their own standards will create confusion and be ineffective. AI systems do not recognize state boundaries, meaning that despite the passage of laws in some states, those laws may prove to be unenforceable. A consistent federal standard would also enhance clarity for people, businesses, and society at large. Here are common-sense ways to regulate AI.
Increased Transparency. All individuals should be able to easily determine when images, videos, audio recordings, or written content have been generated or manipulated in any way by artificial intelligence. That requires clear disclosure requirements on any content generated or manipulated through AI.
Disclosure or Prohibition of AI in Consequential Decisions. Americans deserve to know when artificial intelligence plays a significant role in decisions involving employment, housing, lending, insurance, education, healthcare, or the criminal justice system. Individuals should understand when AI systems are being used and have meaningful opportunities to seek review or appeal when appropriate.
Real Government Oversight. AI companies should not be left to police their own compliance with AI regulations. Government oversight should be adopted instead.
Risk-Based Regulations. Low-risk AI tools should not face the same levels of scrutiny and oversight as high-risk frontier systems.
Data and Privacy Protections. AI systems rely on enormous amounts of data to adapt and create their AI models. Regulations should foster transparency and consumer protections. AI companies should not be shielded from liability for the harm they cause.
Regular Review of Policies. Due to the fast-changing nature of AI, federal policies should be systematically re-examined and updated.
People First. Data centers should be regulated to protect the environment, quality of life, and local communities.
Job Displacement. Job retraining and entrepreneurship programs should be funded, in part, by large AI companies, to address job displacement.
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