The A.I. Pandorica: Linking Ethically Challenged Technical Outputs to Prospective Policy Approaches
Artificial intelligence increasingly drives the modern world. Its rapid and continuous integration into the economic and political fabric of societies across the globe has placed the ethical challenges associated with A.I. onto national political agendas. This paper will deconstruct both the technical and regulatory challenges wrought by A.I. through an ethical lens. By providing a brief overview of how modern A.I. works, and defining and mapping its associated ethical issues to specific technical outputs, this paper will explore several promising paths forward.
Focus: AI Ethics/Policy
Source: dg.o 2019
Redability: Expert
Type: PDF Article
Open Source: No
Keywords: Artificial intelligence, ethics, machine learning, algorithmic bias, digital government
Learn Tags: Bias Ethics Fairness Framework Machine Learning
Summary: An overview of AI issues and possible methods for addressing bias, including AI audits, implementing accountability in policy, instituting Code of Ethics for AI practitioners, data transparency, diversity in the field, and ethics in higher education.