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Stanford University

Against Ethical Robots with Ron Chrisley

Stanford University via YouTube

Overview

Explore a thought-provoking lecture by Stanford HAI visiting scholar Ron Chrisley on the challenges and considerations in AI ethics. Delve into the complexities of avoiding complacency and inflation in ethical AI development, while examining the differences between reactive systems and robots with obligations. Learn about the Logicilased Ethical Robot Methodology (LER) and its limitations, as well as the importance of human-centered ethical design for robots. Gain insights into the potential undesirable effects of ethical inflation, the uncanny valley phenomenon in social robots, and the complexities surrounding autonomous AI systems. Analyze culpability matrices and understand why conventional "ethical robots" may fall short in addressing real-world ethical dilemmas.

Syllabus

AGAINST ETHICAL ROBOTS
IMPETUS: AGAINST ETHICAL INFLATION
UNDESIRABLE EFFECTS OF ETHICAL INFLATION
COMPLACENCY IS NOT AN OPTION
EX. -- SOCIAL ROBOTS: UNCANNY VALLEY OF THE DOLLS
EX 2: AUTONOMOUS AI
SIDEBAR: IS MACHINE LEARNING EXEMPT!
LOGICILASED ETHICAL ROBOT METHODOLOGY (LER)
CONFLICT BETWEEN
RELATIVIZED OBLIGATIONS
JUST ADD A PARAMETER?
MAKING LERM HUMAN-CENTERED
CONVENTIONAL "ETHICAL ROBOTS" (LERM)
ETHICAL, HUMAN.CENTERED ROBOT DESIGN
THE DIFFERENCE IN ACTION A THOUGHT EXPERIMENT
CULPABILITY MATRICES
LERM GETS IT WRONG
HUMAN.CENTERED ETHICAL DESIGN FOR R
SUMMARY

Taught by

Stanford HAI

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