Everybody knows them. Smartphones that talk to us, wristwatches that
record our health data, workflows that organize themselves
automatically, cars, airplanes and drones that control themselves,
traffic and energy systems with autonomous logistics or robots that
explore distant planets are technical examples of a networked world of
intelligent systems. Machine learning is dramatically changing our
civilization. We rely more and more on efficient algorithms, because
otherwise we will not be able to cope with the complexity of our
civilizing infrastructure. But how secure are AI algorithms? This
challenge is taken up in the 2nd edition: Complex neural networks are
fed and trained with huge amounts of data (big data). The number of
necessary parameters explodes exponentially. Nobody knows exactly what
is going on in these "black boxes". In machine learning we need more
explainability and accountability of causes and effects in order to be
able to decide ethical and legal questions of responsibility (e.g. in
autonomous driving or medicine)! Besides causal learning, we also
analyze procedures of tests and verification to get certified
AI-programs. Since its inception, AI research has been associated with
great visions of the future of mankind. It is already a key technology
that will decide the global competition of social systems. "Artificial
Intelligence and Responsibility" is another central supplement to the
2nd edition: How should we secure our individual liberty rights in the
AI world? This book is a plea for technology design: AI must prove
itself as a service in society.
