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How do we build powerful AI systems that do what people actually intend? This introduction explains the central questions in AI safety and alignment for engineers, students, policymakers, and curious readers.
Across five chapters, Suraj Sindia examines why alignment is difficult, how today's training methods shape model behavior, what safety evaluations can and cannot show, the risks of misuse and loss of control, and the institutions that may govern advanced AI. The book distinguishes research proposals from demonstrated results and points readers to the work behind its claims.
Published under Meridian Alignment and Safety Research Labs, Aligning Intelligence offers a clear starting point for understanding the technical and social choices behind safer AI.
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