Coming to terms with intelligence in machines

45-minute Keynote

There are no truly intelligent artifacts on the horizon yet.

Timetable

9:15 a.m. – 10:15 a.m. Tuesday 16th

Room

Room F1+F2+F3 - Plenary

Audience

All kinds of stakeholders

Key-Learnings

  • There is no consensus on defining intelligence.
  • Both human and machine intelligence are concepts difficult to define.
  • Synergies between Artificial Intelligence and Software Engineering should be strengthened.

The latest developments in the field of Artificial Intelligence have revolutionized the way people think of intelligent machines and what these artifacts can do in the present or will be able to do in the future. On the one hand, the hype around their capabilities is higher than ever and fuels unrealistic narratives from which even AI practitioners and researchers cannot easily escape.

On the other hand, the concept of intelligence continues to be very difficult to define and the salad of definitions of intelligence out there is more an obstacle than a vehicle for designing, developing, deploying, and using intelligent systems.

This keynote aims to explain why it is so challenging to define the concept of intelligence, why truly intelligent artifacts are still a longing AI dream out of reach, and how the Software Engineering community can help in getting closer to that fascinating AI promise.

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