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

• Published in: Recent Trends and Future Technology in Applied Intelligence Vol. 10868; pp. 869 - 880
• Main Authors: Benrimoh, David, Israel, Sonia, Perlman, Kelly, Fratila, Robert, Krause, Matthew
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: AI ethics; Assessment framework; Intentionality; Meticulous transparency
• ISBN: 331992057X; 9783319920573
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-92058-0_83

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.