The Case for a Federal Robotics Commission

How researchers see this paper

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Research Priorities for Robust and Beneficial Artificial Intelligence (2015, background): “for example, a panel or committee of professionals and academics could be created, and Calo has proposed the creation of a Federal Robotics Commission (Calo 2014a).”
The challenge of crafting intelligible intelligence (2018, background): “e gray region denotes AI-specific mistakes a human would never make. Despite reducing the total number of errors, a deployed model may create new areas of liability (gray), necessitating explanations [5]. A related reason is assessing legal liability. A deployed model (e.g., self-driving cars) may i”
Intelligible Artificial Intelligence (2018, unknown): “areas of liability (gray), necessitating explanations [5].”
AI and the Economy (2018, background): “Calo (2014) reminds us that the federal government forms new de‑ partments and agencies from time to time, depending on circumstance.”