# Responsible Autonomy

## TL;DR

This paper discusses the importance of integrating ethical, societal, and legal values into AI systems to ensure responsible autonomous decision-making, emphasizing the need for methodologies to clarify stakeholder values.

## Contribution

It introduces approaches to incorporate ethics into AI design and deliberation, addressing socio-cultural variability and stakeholder value elicitation.

## Key findings

- Analysis of leading ethics theories
- Proposed methodologies for value elicitation
- Frameworks for ethical AI behavior

## Abstract

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.