Artificial Intelligence

Artificial Intelligence

1. Machine Learning

   • When Computers Decide
     • Legal
       • Define clear legal responsibilities for ADM’s use and impacts.
     • Societal
       • Increase public funding for non-commercial ADM-related research significantly.
     • Ethical
       • Ethics remain at the forefront of, and integral to, ADM development
     • Economic
     • Educational
     • Technical
       • Establish means, measures and standards to assure that ADM systems are fair
   • The Barcelona Declaration...
     • Scope
     • Investment
       • Europe needs to scale up its AI effort.
     • Prudence
       • Honest communication is needed about the strenghts and limitations of AI applications.
       • Ethical
     • Reliability
       • It is necessary to create a trusted organisation for verification and validation of AI.
     • Accountability
       • AI applications need to be intelligible, able to explain the basis of their decisions.
     • Identity
       • It should always be clear whether we are dealing with a human or an AI system.
       • Ethical
     • Autonomy
     • Maintaining Human Knowledge
       • Human intelligence needs to be fostered as a source of future knowledge.
       • Societal