Putting human values at the core of AI systems that become increasingly autonomous
Developments in autonomy and learning are rapidly enabling AI systems to decide and act without direct human control. Algorithm development has so far been led by the goal of improving performance, leading to opaque black boxes. But greater machine autonomy must come with greater responsibility and the capacity to explain decisions. Trust in AI must be based on transparency, since humans cannot relate to the ways of doings of machines. Putting human values at the core of AI systems calls for a mind-shift of researchers and developers towards the goal of improving transparency rather than performance, which will lead to novel and exciting algorithms. Turning Deep Learning into Valuable Learning.
People involved: Virginia Dignum (Faculty of TPM)