Computational motivation, autonomy and trustworthiness: Can we have it all?

Abstract

Computational motivation—such as curiosity, novelty-seeking, achievement, affiliation and power motivation-facilitates open-ended goal generation by artificial agents and robots. This further supports diversity, adaptation and cumulative, life-long learning by machines. However, as machines acquire greater autonomy, this may begin to affect human perception of their trustworthiness. Can machines be self-motivated, autonomous and trustworthy? This chapter examines the impact of self-motivated autonomy on trustworthiness in the context of intrinsically motivated agent swarms.