Artificial Intelligence

AI Opaqueness: What Makes AI Systems More Transparent? (Panel)

Artificially Intelligent (AI) systems are pervasive, but poorly understood by their users and, at times, developers. It is often unclear how and why certain algorithms make choices, predictions, or conclusions. What does AI transparency mean? What …

AI Governance Systems: Ontological Explorations in the Canadian Context

As artificial intelligence systems (AIS) become widely adopted around the world, potential misuses of AIS pose increased risks of social, political, and economic harms. To mitigate those risks and maximize the benefits of AIS adoption, many …

An Information Governance Methodology to Tackle Digital Recordkeeping Challenges: The Convergence of Artificial Intelligence, Business Analysis and Information Architecture

Information Governance is an emerging cross-disciplinary framework to ensure the proper management of information within organizations. This paper presents a five-step methodology to implement Information Governance comprising 1) Information …