Responsible Artificial Intelligence -- from Principles to Practice
It tackles the problem of ensuring AI fairness, transparency, and privacy for society, but is incremental as it builds on existing principles without introducing new technical solutions.
The paper addresses the challenge of integrating responsible and ethical principles into AI systems beyond technical trust, emphasizing the need for societal, institutional, and legal methods to align AI with societal values.
The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring responsible, ethical AI is more than designing systems whose result can be trusted. It is about the way we design them, why we design them, and who is involved in designing them. In order to develop and use AI responsibly, we need to work towards technical, societal, institutional and legal methods and tools which provide concrete support to AI practitioners, as well as awareness and training to enable participation of all, to ensure the alignment of AI systems with our societies' principles and values.