
A deep dive into AI ethics and the challenges of aligning machine learning with human values.
No reviews yet
A deep dive into AI ethics and the challenges of aligning machine learning with human values.
Finalist for the Los Angeles Times Book Prize A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we ...
will contain mild spoilers
No romantic or sexual content present
Brief discussion of lethal autonomous weapons and AI harms
No evidence found in available sources
No evidence found in available sources
No evidence found in available sources
No evidence found in available sources
No fantasy magic or witchcraft present
No occult or demonology content present
Central focus on algorithmic bias, fairness, and AI ethics in society
No evidence found in available sources
Covers systemic racial and gender bias in justice and hiring algorithms
No information found