Unintended Consequences of Biased Robotic and Artificial Intelligence Systems [Ethical, Legal, and Societal Issues]
Ludovic Righetti, Raj Madhavan, Raja Chatila
- Year
- 2019
- Citations
- 25
- Access
- Open access
Abstract
The IEEE Robotics and Automation Research and Practice Ethics Committee (RARPEC) is intended as a platform to exchange ideas and discuss the impacts and practice of robotics and automation (R&A) technologies in research, development, and deployment that appear to pose ethical questions for humanity. With increased awareness and controversies surrounding R&A, RARPEC is publishing a series of opinion pieces that will focus on separating hype from reality by providing an objective and balanced treatment of technological, ethical, legal, and societal perspectives. Third in the series, this piece focuses on the implications and consequences of bias in robotic systems.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991