AI Ethics Series: The Law of AI Ethics, Margot Kaminski

Presented by the Daniels Fund Ethics Initiative Collegiate Program at Colorado Law and Silicon Flatirons.

Artificial intelligence (AI) is increasingly used to make important decisions, from university admissions selections to loan determinations to the distribution of COVID-19 vaccines. These uses of AI raise a host of concerns about discrimination, accuracy, fairness, and accountability.

AI Ethics is a burgeoning field, querying the norms that get baked into these technologies applied in an increasing number of scenarios on increasing scale. This talk examines the law of AI Ethics: what lawmakers have proposed or enacted to address the problems of unethical or untrustworthy AI.

In the United States, recent proposals for regulating AI focus largely on ex ante and systemic governance. This talk will discuss the risk regulation of AI, along with an individual right to contest AI decisions, modeled on due process but adapted for the digital age.

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AI Ethics Series

Artificial Intelligence, or AI, is increasingly in use by both the government and the private sector, from the allocation of government benefits to the creation of smart contracts. However, poorly designed AI systems can lead to significant harms, including but not limited to discrimination. The question of how to regulate and build ethical AI is central. The AI Ethics lecture series will emphasize the practical applications of AI technology and ways to ensure principle-based ethics are a key focus of both development and regulation. This is one of four sessions scheduled for the fall 2022/spring 2023, each with a different featured speaker and subtopic, and each session requires a separate registration. Follow the links below for more details, and to register:

• October 20, 2022 — Casey Fiesler
• November 16, 2022 — Margot Kaminski
• February 27, 2023 — Rumman Chowdhury
• March 20, 2023 — Alex Hanna