Regulating Artificial Intelligence - How to De-Mystify the Alchemy of Code?

Ebers/Navarro, Algorithms and Law, 2019, Cambridge University Press, Forthcoming

48 Pages Posted: 2 Oct 2019

See all articles by Prof. Dr. Mario Martini

Prof. Dr. Mario Martini

German University for Administrative Sciences Speyer

Date Written: March 14, 2019

Abstract

Algorithms have a profound and growing influence on our lives, but partially remain a black box to us. Keeping the risks that arise from rule-based and learning systems in check is a challenging task for both: society and the legal system. The essay undertakes the challenge to examine existing and adaptable legal solutions and to complement them with further proposals. It designs a regulatory model in four steps along the time axis: preventive regulation instruments, accompanying risk management, ex post facto protection and the vision of an algorithmic responsibility code. Together, they form a legislative blueprint to further regulate applications of artificial intelligence.

Keywords: regulating artificial intelligence, algorithmic discrimination, algorithmic non-transparency, algorithmic decision making, algorithm risk management, algorithm liability, algorithmic responsibility code, artificial intelligence, machine learning. 

Suggested Citation

Martini, Mario, Regulating Artificial Intelligence - How to De-Mystify the Alchemy of Code? (March 14, 2019). Ebers/Navarro, Algorithms and Law, 2019, Cambridge University Press, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3458261 or http://dx.doi.org/10.2139/ssrn.3458261

Mario Martini (Contact Author)

German University for Administrative Sciences Speyer ( email )

Freiherr vom Stein Strasse 2
Freiherr vom Stein Strasse 2
Speyer, D-67346
Germany

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