首页|Studies Conducted at Leiden University on Artificial Intelligence Recently Repor ted (Licensing High-risk Artificial Intelligence: Toward Ex Ante Justification f or a Disruptive Technology)
Studies Conducted at Leiden University on Artificial Intelligence Recently Repor ted (Licensing High-risk Artificial Intelligence: Toward Ex Ante Justification f or a Disruptive Technology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Leide n, Netherlands, by NewsRx correspondents, research stated, "The regulation of ar tificial intelligence (AI) has heavily relied on ex post, reactive tools. This a pproach has proven inadequate, as numerous foreseeable problems arising out of c ommercial development and applications of AI have harmed vulnerable persons and communities, with few (and sometimes no) opportunities for recourse." Our news editors obtained a quote from the research from Leiden University, "Wor se problems are highly likely in the future. By requiring quality control measur es before AI is deployed, an ex ante approach would often mitigate and sometimes entirely prevent injuries that AI causes or contributes to. Licensing is an imp ortant tool of ex ante regulation, and should be applied in many high-risk domai ns of AI. Indeed, policymakers and even some leading AI developers and vendors a re calling for licensure in the area. To substantiate licensing proposals, this article specifies optimal terms of licensure for AI necessary to justify its use . Given both documented and potential harms arising out of high-risk AI systems, licensing agencies should require firms to demonstrate that their AI meets clea r requirements for security, non-discrimination, accuracy, appropriateness, and correctability before being deployed. Under this ex ante model of regulation, AI developers would bear the burden of proof to demonstrate that their technology is not discriminatory, not manipulative, not unfair, not inaccurate, and not ill egitimate in its lawful bases and purposes."
LeidenNetherlandsEuropeArtificial IntelligenceCybersecurityEmerging TechnologiesMachine LearningTechnologyLeiden University
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