As with all transformative technologies, humanity needs to analyze the ethical chal- lenges and potential impacts associated with implementation. This chapter explores fundamental questions that pertain to interactive task learning (ITL): What is being taught and what are the associated risks? What are the dynamics of human–machine instruction? What effects will ITL have on human instructors and society? It explores the long-term impact that ITL could have on humans and human society, and discusses concerns valid to both machine learning and ITL (e.g., how to ensure that machines will learn knowledge that they can put to good use, that they will serve humans well and not become deviant). Importantly, it stresses the unique aspects of ITL and proposes that the time to think about and take action on these concerns is now.
@incollection{scheutz19itl,
title={Ethical Aspects and Challenges for Interactive Task Learning},
author={Scheutz, Matthias},
year={2019},
booktitle={Interactive Task Learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions},
publisher={MIT Press},
url={https://hrilab.tufts.edu/publications/scheutz19itl.pdf}
doi={10.7551/mitpress/11956.001.0001}
}