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But without direct discussion on how bias is defined in the public domain, and what specific use cases should be prioritized, the U.S. Here, OSTP is calling for the clarification of “the rights and freedoms we expect data-driven technologies to respect” and to establish general safeguards to prevent abuse in the U.S. In some respects, the roundtable concurred with the need for a “Bill of Rights for an AI-Powered World,” a framework introduced in 2021 by the White House Office of Science and Technology Policy (OSTP). Experts also overwhelmingly found that any national governance structure must include analyses of sensitive use cases that are exacerbated when AI systems leverage poor quality data, rush to innovate without consideration of existing civil rights protections, and fail to account for the broader societal implications of inequalities that embolden AI systems to discriminate against or surveil certain populations with greater precision. In the end, roundtable experts called for increased attention to be paid to the intended and unintended consequences of AI on more vulnerable populations. The goal of the Brookings dialogue was to delve into existing federal efforts to identify areas for more deliberate exchange for civil and equal rights protections. Leaders represented national and local organizations advocating for various historically-disadvantaged and other vulnerable populations. In 2021, the Brookings Institution Center for Technology Innovation (CTI) convened a group of stakeholders prior to the NAIAC formation to better understand and discuss the U.S.’s evolving positions on AI. While the NAIAC is the appropriate next step in gathering input from various stakeholders within the private and public sectors, as well as from universities and civil society stakeholders, representatives from more inclusive and affected groups are also key to developing and executing a more resilient governance approach. Further, the process must include solutions for legible and enforceable frameworks that bring equity into the design, execution, and auditing of computational models to thwart historical and present-day discrimination and other predatory outcomes. These and other potential harms must be paired with pragmatic solutions, starting with a comprehensive and universal definition of bias, or the specific harm being addressed. Poor or inadequate decisions around financial services and creditworthiness, hiring, criminal justice, health care, education, and other scenarios that predict social and economic mobilities stifle inclusion and undercut democratic values such as equity and fairness. excludes such considerations from national governance discussions, historic and systemic inequalities will be perpetuated, limiting the integration of the needs and lived experiences of certain groups into emerging AI innovations. Of equal importance is that the technology needs to be improved for domestic use cases as part of this national effort, especially in areas with the potential to create either differential treatment or disparate impact for federally protected and other vulnerable populations. Taken together, the objectives of the national AI initiative and the creation of the NAIAC will ensure strategic and timely approaches to the design and deployment of autonomous systems, as well as further establish national norms. competitiveness, issues related to workforce, and whether there is adequate national oversight of AI systems. At their first meeting on May 4, 2022, the NAIAC discussed the use of AI pertaining to U.S.
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Department of Commerce, and the National Institute on Standards (NIST) announced members of the inaugural National Artificial Intelligence Advisory Committee (NAIAC), which will be tasked with advising the Biden administration on how to proceed with national AI governance efforts. The United States has been working to codify the National Artificial Intelligence (AI) Initiative that focuses on six strategic pillars : improving AI innovation, advancing trustworthy AI, creating new education and training opportunities through AI, improving existing infrastructure through new technologies, facilitating federal and private sector utilization of AI to improve existing systems, and promoting an international environment that supports further advances in AI.