Responsible Autonomy
This addresses the ethical implications of AI decisions for society, but it is incremental as it builds on existing ethics theories without introducing a new technical breakthrough.
The paper tackles the problem of integrating ethical considerations into AI systems to ensure responsible decision-making, proposing methodologies to elicit and incorporate moral, societal, and legal values into design and algorithms.
As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions. Means are needed to integrate moral, societal and legal values with technological developments in AI, both during the design process as well as part of the deliberation algorithms employed by these systems. In this paper, we describe leading ethics theories and propose alternative ways to ensure ethical behavior by artificial systems. Given that ethics are dependent on the socio-cultural context and are often only implicit in deliberation processes, methodologies are needed to elicit the values held by designers and stakeholders, and to make these explicit leading to better understanding and trust on artificial autonomous systems.