Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies

By M. Scherer. 2015

538 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Safety Research

View Paper: https://www.semanticscholar.org/paper/882e1ab2d7a508c6ebfb8884a549b85a2da4b385

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Seth D. Baum
2. M. Vasarhelyi

In Economics and Econometrics

1. Seth D. Baum

In Safety Research

1. Helen L. Brown-Liburd
2. Seth D. Baum

Citations in the corpus

• The Ethical Implications of Using Artificial Intelligence in Auditing (2020, background): “For example, Scherer (2015) proposes that firms that use certified AI should enjoy limited liability in case of litigation.”
• A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy (2017, background): “Scherer (2016) analyzes the potential for AGI regulation by the US government, noting the advantages of national regulation relative to sub-national regulation and suggesting that this could be a prelude to an international treaty.”
• Artificial Intelligence Regulation: A Meta-Framework for Formulation and Governance (2020, unknown): “It is worth noting that the Agile Governance proposal does not exclude conventional actions for a formal regulation – the Interactive Regulatory Governance Model and the CompetencyBased Regulatory Model, both of which involve the legislative branch.”