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Meticulous Transparency—An Evaluation Process for an Agile AI Regulatory Scheme

Authors :
Matthew R. Krause
Sonia Israel
Kelly Perlman
Robert Fratila
David Benrimoh
Source :
Lecture Notes in Computer Science ISBN: 9783319920573, IEA/AIE
Publication Year :
2018
Publisher :
Springer International Publishing, 2018.

Abstract

Artificial intelligence (AI) poses both great potential and risk, as a rapidly developing and generally applicable technology. To ensure the ethical development and responsible use of AI, we outline a new ethical evaluation framework for usage by future regulators: Meticulous Transparency (MT). MT allows regulators to keep pace with technological progress by evaluating AI applications for their capabilities and the intentionality of developers, rather than evaluating conformity to static regulations or ethical codes of the underlying technologies themselves. MT shifts the focus of ethical evaluation from the technology itself to instead why it is being built, and potential consequences. MT assessment is reminiscent of a Research Ethics Board submission in medical research, with required explanation depending on the potential impact of the AI system. We propose the use of MT to transform AI-specific ethical quandaries into more familiar ethical questions, which society must then address.

Details

ISBN :
978-3-319-92057-3
ISBNs :
9783319920573
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science ISBN: 9783319920573, IEA/AIE
Accession number :
edsair.doi...........aff5227026bfe12cebaf6842a1a01f6f
Full Text :
https://doi.org/10.1007/978-3-319-92058-0_83