5.0

Moral AI And How We Get There

By Jana Schaich Borg, Walter Sinnott-Armstrong, Vincent Conitzer

Format:Softcover
Deliver in 2-3 business days after shipping
Free shipping & return

A balanced and thought-provoking guide to all the big questions about AI and ethicsCan computers understand morality? Can they respect privacy? And what can we do to make AI safe and fair? The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals - and AI's presence in our lives will only increase. Some see this as the dawn of a new era in innovation and ease; others are alarmed by its destructive potential. But one thing is clear: this is a technology like no other, one that raises profound questions about the very definitions of human intelligence and morality. In Moral AI, world-renowned researchers in moral psychology, philosophy, and artificial intelligence - Jana Schaich Borg, Walter Sinnott-Armstrong and Vincent Conitzer - tackle these thorny issues head-on. Writing lucidly and calmly, they lay out the recent advances in this still nascent field, peeling away the exaggeration and misleading arguments. Instead, they offer clear examinations of the moral concerns at the heart of AI programs, from racial equity to personal privacy, fake news to autonomous weaponry. Ultimately, they argue that artificial intelligence can be built and used safely and ethically, but that its potential cannot be achieved without careful reflection on the values we wish to imbue it with. This is an essential primer for any thinking person.

Science, Technology & Nature
304 pagesSoftcover
First published 2025-04-24

What's Bookie?

  • Free delivery in Germany.
  • Find your perfect next read.
  • Track to motivate you to read more.
  • Connect with people like you.

Popular Reviews(1)

5.0(1 ratings)
amisoccassiopeiaReviewed by amisoccassiopeia

An extremely good book written by scientists coming from different disciplines. It gives a highly needed and comprehensive overview of the current challenges, opportunities and considerations we need to think about when working on and with AI/ML algorithms.

Similar Books