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Why automatic AI ethics evaluations are coming, and how they will work
Ethics evaluations of companies that function with AI at their core are increasingly required by regulation and law in Europe and the US. Investors in artificial intelligence (AI)-intensive companies also seek ethics evaluations as part of the nonfinancial information they gather about corporate performance, especially as it relates to privacy and algorithmic fairness. The result is an increasing demand for the evaluations. The costs and time necessary to perform an AI ethics audit, however, are high, even prohibitive. To solve the problem, natural language processing (NLP) and machine learning (ML) can be employed to automate the process. The proposal is that much of the work of AI evaluating can be accomplished more efficiently by machines than by humans. To show how automated ethics reporting may work, this paper describes a project currently underway at Pace University in New York and the University of Trento in Italy. The project endeavours to apply AI to the task of producing AI ethics evaluations.
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James Brusseau is author of books, articles and media in the history of philosophy and ethics. He has taught in Europe, Mexico and currently at Pace University near his home in New York City. His academic research explores the human experience of artificial intelligence in the areas of privacy, freedom, authenticity and personal identity. His current applied ethics project is AI Human Impact: AI-intensive companies rated in ethical terms for investment purposes.
Giovana Meloni Craveiro is a computer science graduate at the University of São Paulo, Brazil. Moved by her interest in natural language processing and the ethics of artificial intelligence, she entered an exchange programme at the University of Trento where she participated in the project AI Human Impact: AI-intensive companies rated in ethical terms for investment purposes. Now she looks forward to building a career in the field.