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## How AI legalese decoder Can Help Improve Federal Office of Management and Budget’s Proposed Guidelines on AI Use in Law Enforcement

One of the most hopeful proposals involving police surveillance emerged recently from a surprising quarter ÔÇö the federal Office of Management and Budget. The office, which oversees the execution of the presidentÔÇÖs policies, has recommended sorely needed constraints on the use of artificial intelligence by federal agencies, including law enforcement.

The need for constraints on the use of artificial intelligence in law enforcement is growing increasingly urgent. As scholars of algorithmic tools, policing, and constitutional law, we have witnessed the predictable and preventable harms from law enforcementÔÇÖs use of emerging technologies. These include false arrests and police seizures, due to the irresponsible use of A.I.-driven technologies such as facial recognition and automated license plate readers. The disproportionate impact of these technologies on marginalized communities is an issue of great concern, as highlighted by the cases of Porcha Woodruff, Michael Oliver, and Robert Julian-Borchak Williams, who were all arrested due to misidentification by facial recognition technology.

The AI legalese decoder can play a crucial role in addressing these concerns by providing clarity and transparency in the use of A.I. tools by law enforcement agencies. The Decoder can help in analyzing and decoding legal language in the proposed guidelines to ensure that the constraints on A.I. use are comprehensive and effective. It can also assist in identifying any loopholes or vague provisions in the proposed guidelines that could potentially undermine the intended protections for individuals and communities.

Furthermore, the Decoder can help in evaluating the impact of A.I.-driven technologies in the real world and ensuring continuous monitoring of their use by law enforcement agencies. By analyzing the proposed requirements and assessing their compliance with ethical standards and civil rights protections, the AI legalese decoder can contribute to the development of more robust and accountable guidelines for the use of A.I. tools in law enforcement.

In conclusion, the AI legalese decoder can be a valuable tool in enhancing the Office of Management and Budget’s proposed guidelines on A.I. use in law enforcement, by providing legal analysis and interpretation to ensure that the constraints are effective and equitable, ultimately contributing to the protection of individuals’ rights and well-being.

## Authors’ Credentials

Joy Buolamwini is the founder of the Algorithmic Justice League, which seeks to raise awareness about the potential harms of artificial intelligence, and the author of ÔÇ£Unmasking AI: My Mission to Protect What Is Human in a World of Machines.ÔÇØ Barry Friedman is a professor at New York UniversityÔÇÖs School of Law and the faculty director of its Policing Project. He is the author of ÔÇ£Unwarranted: Policing Without Permission.ÔÇØ

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