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The Age of Prediction
Book

The Age of Prediction

Algorithms, AI, and the Shifting Shadows of Risk

MIT Press, 2023 more...


Editorial Rating

9

Qualities

  • Analytical
  • Eye Opening
  • Visionary

Recommendation

Humanity is on the cusp of a new age, write Igor Tulchinsky and Christopher Mason – “The Age of Prediction.” AI algorithms and the exponential explosion of big data are giving scientists across myriad industries the means to harness the power of increasingly accurate predictions, reducing uncertainty and many of the associated risks. However, new risks are emerging, such as the existential threat of autonomous AI-enabled weapons systems and threats to democracy. Drawing on their backgrounds in quantitative predictions in finance and genomics, Tulchinsky and Mason share both disquieting and hopeful insights on how machine learning and predictive algorithms could radically transform humanity’s future.

Take-Aways

  • In “The Age of Prediction,” scientists are reducing uncertainty across industries.
  • Leverage diverse perspectives when model building to glean better insights from big data.
  • Exponential data growth won’t eliminate risk, as complex systems are in a constant state of flux.

About the Authors

Igor Tulchinsky is the founder, CEO and chairman of a global quantitative asset management firm, WorldQuant, as well as an investor, venture capitalist, philanthropist, entrepreneur and author. Christopher E. Mason is a genomics, physiology and biophysics professor at Weill Cornell Medicine, and founding director of the WorldQuant Initiative for Quantitative Prediction.