Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical information to actors in government, industry, and civil society, these organizations could improve visibility into new and emerging risks posed by frontier systems. Equipped with this information, developers could make better informed decisions on risk management, while policymakers could design more targeted and robust regulatory infrastructure. We outline the key features of responsible reporting and propose mechanisms for implementing them in practice. Evaluate current models for novel risks (including risks discovered by other organizations) Update model safeguards and risk mitigations Developer Other developers (e.g., revise scaling policy, security practices) Documents and Evaluates information Consult with domain experts in government reports safety and decides on (e.g., experts in national security, public health) information response plan Solicit additional information from developer Government actor (e.g., design decisions, organizational processes) Request or conduct further safety evaluations (incl. in collaboration with independent auditors) Domain experts in

This White Paper assesses the progress of three pillars of U.S. leadership in AI innovation and trustworthy AI that carry the force of law: (i) the AI in Government Act of 2020; (ii) the Executive Order on "AI Leadership"; and (iii) the Executive Order on "AI in Government." Collectively, these Executive Orders and the AI in Government Act have been critical to defining the U.S. national strategy on AI and envisioning an ecosystem where the U.S. government leads in AI and promotes trustworthy AI. We systematically examined the implementation status of each requirement and performed a comprehensive search across 200 federal agencies to assess implementation of key requirements to identify regulatory authorities pertaining to AI and to enumerate AI use cases. While much progress has been made, our findings are sobering. America's AI innovation ecosystem is threatened by weak and inconsistent implementation of these legal requirements.

The reintroduction of the Artificial Intelligence in Government Act this month is a much needed response to concerns that the United States is lagging behind both foreign governments and American industry in reaping the promise and perils of artificial intelligence. Sponsored by a bipartisan group of senators, the bill promotes the adoption of artificial intelligence in the federal government, while addressing the potential negative consequences. A companion bill was introduced in the House. Central to the bill is the creation of an Artificial Intelligence Center of Excellence within the General Services Administration, which will provide the technical expertise, research, and advice to federal agencies on the acquisition and use of artificial intelligence technology, including all of the accompanying "economic, policy, legal, and ethical challenges and implications." A key part of its mission is to direct and assist the agencies in developing and maintaining governance plans for their use of artificial intelligence.

A cadre of senators is looking to prompt the federal government to be a bit more proactive in utilizing artificial intelligence technologies. To this end, the bipartisan group including Sens. Brian Schatz, D-Hawaii, Cory Gardner, R-Colo., Rob Portman, R-Ohio, and Kamala Harris, D-Calif., introduced the Artificial Intelligence in Government Act on Wednesday. Per a news release, the bill would seek to "improve the use of AI across the federal government by providing resources and directing federal agencies to include AI in data-related planning." The bill aims to do a number of things, including establishing an AI in government advisory board, directing the White House Office of Management and Budget to look into AI as part of the federal data strategy, getting the Office of Personnel Management to look at what kinds of employee skills are necessary for AI competence in government and expanding "an office" at the General Services Administration that will provide expertise, do research and "promote U.S. competitiveness." "Artificial intelligence has the potential to benefit society in ways we cannot imagine today," Harris said in a statement.

Amid rage brewing on both sides of the political spectrum over testimony by Christine Blasey Ford and Judge Brett Kavanaugh, it would be understandable if you missed some significant artificial intelligence news in Washington D.C. in recent weeks. This week, a group of four senators -- two Democrats, two Republicans -- put forward the AI in Government Act to do things like carry out unique research on federal AI policy, work across agencies, and form an AI advisory board similar to the one created by the European Union earlier this year. The bill has the support of Microsoft, Intel, and the Internet Association, an organization whose members represent some of the biggest tech companies in AI, including Amazon, Facebook, and Google. Last week, Senator Kamala Harris (D-CA) and seven of her colleagues in the House and Senate signed and sent letters to the Federal Bureau of Investigation (FBI), Federal Trade Commission (FTC), and Equal Employment and Opportunity Commission (EEOC) asking questions about their use of facial recognition software. The FTC and EEOC were asked things like how they address claims of discrimination that may be the result of algorithmic bias and if it has received complaints about facial detection in the workplace or as part of hiring practices.