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San Francisco’s proactive approach to AI governance: San Francisco Supervisor Hilary Ronen is set to introduce groundbreaking legislation aimed at regulating the use of artificial intelligence (AI) across city and county departments.

  • The proposed legislation seeks to create transparency, assess potential impacts, and establish standards for AI usage in local government operations.
  • This initiative comes as San Francisco, a hub of technological innovation, grapples with the rapid advancement and integration of AI technologies in various sectors.

Key components of the proposed legislation: The Department of Technology would be tasked with implementing three primary measures to oversee and regulate AI use in San Francisco.

  • Create and maintain a public inventory of AI technologies used across city and county departments, including the rationale behind their implementation.
  • Conduct comprehensive impact assessments of AI programs, focusing on potential worker displacement, decision-making biases, security vulnerabilities, and privacy concerns.
  • Develop standards for the procurement of new AI systems, ensuring they align with the city’s values and regulations.

Current state of AI usage in San Francisco: The city’s decentralized approach to technology adoption has led to a lack of centralized knowledge about AI implementation across departments.

  • San Francisco’s Chief Information Officer, Michael Makstman, highlighted the challenges posed by the fragmented IT systems spread across more than 50 city departments.
  • Despite the lack of a comprehensive overview, AI is already in use in various city services, including the 311 app, radiology departments, and cybersecurity systems.

Timeline and implementation: The proposed legislation sets specific deadlines for the Department of Technology to compile and assess AI usage across the city.

  • Makstman would have six months to publish an initial inventory of AI programs currently in use.
  • A one-year deadline would be set for completing impact assessments of these AI systems.

Labor union support and implications: The proposed legislation has garnered support from labor unions, recognizing the potential impact of AI on the workforce.

  • SEIU 1021, a prominent labor union, backs the legislation as it provides a foundation for negotiating AI-related clauses in future contracts.
  • The impact assessments will involve input from labor and privacy experts, ensuring a balanced approach to AI implementation.

San Francisco’s history of tech regulation: This proposed AI legislation aligns with San Francisco’s track record of proactively addressing emerging technologies and their societal impacts.

  • In 2019, the city banned the use of facial recognition technology by police departments.
  • Earlier this year, San Francisco prohibited the use of algorithmic systems for setting rental prices.

Balancing innovation and regulation: The proposed legislation aims to strike a balance between embracing technological advancements and mitigating potential risks.

  • Rather than imposing outright bans on AI technologies, the legislation focuses on increasing transparency and addressing potential issues proactively.
  • This approach allows for the continued adoption of beneficial AI systems while ensuring proper oversight and regulation.

Broader implications for AI governance: San Francisco’s proposed AI legislation could serve as a model for other cities and regions grappling with the rapid integration of AI technologies.

  • The initiative highlights the growing need for local governments to develop comprehensive strategies for managing AI implementation in public services.
  • By focusing on transparency, impact assessment, and procurement standards, the legislation addresses key concerns surrounding AI adoption in government operations.

Looking ahead: Challenges and opportunities: As San Francisco moves forward with this pioneering legislation, several key questions and considerations emerge.

  • The effectiveness of the legislation will depend on the city’s ability to accurately assess and categorize AI systems across diverse departments.
  • Balancing the need for innovation with regulatory oversight will be crucial in maintaining San Francisco’s position as a tech hub while addressing potential societal impacts.
  • The success of this initiative could pave the way for more comprehensive AI governance frameworks at local, state, and national levels.
S.F. doesn’t know what AI programs it is using. New legislation could change that

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