A new report from the Information Technology Industry Council (ITIC) offers recommendations "on facilitating public trust in and understanding of" artificial intelligence (AI) systems.
“As policymakers increasingly consider applying broad transparency requirements” for AI, the ITIC report urges policymakers to consider “the various different types of transparency that can be achieved. They should also consider the ultimate objective of and audience for transparency requirements; take a risk-based approach to transparency requirements; include clear definitions of what is meant by transparency; consider that there are different ways to approach transparency; consider including provisions within legislation that are intended to provide users with sufficient information to understand decisions of an AI system that may negatively affect their fundamental rights and provide users with the ability to review and/or challenge such decisions; ensure transparency requirements do not implicate sensitive IP or source code; leverage voluntary international standards; and consider the role of disclosure requirements.”
ITIC defines an AI system as “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy.” The definition is derived from the OECD’s definition.
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