Rebooting AI: Building Artificial Intelligence We Can Trust
Gary Marcus & Ernest Davis· Published 2020
A critical look at the current state of AI, arguing for a more robust approach to building systems that actually understand the world.
As an Amazon and Bookshelf Associate, I earn from qualifying purchases.
Why It's On My Shelf
Marcus and Davis provide a needed counterbalance to unchecked optimism. Their critique helps executives distinguish between impressive demos and reliable systems. CIOs evaluating AI for regulated, safety critical, or high stakes environments can use this as a reality check before committing to scale.
Co-Intelligence
Ethan Mollick
An exploration of how to live and work with AI as a partner, focusing on the practical integration of Large Language Models into daily workflows.
View on Amazon
All-In on AI: How Smart Companies Win Big with Artificial Intelligence
Tom Davenport & Nitin Mittal
Case studies and frameworks for companies that have moved beyond experiments to make AI a core part of their business strategy.
View on Amazon
Prediction Machines: The Simple Economics of Artificial Intelligence
Ajay Agrawal, Joshua Gans & Avi Goldfarb
An economic framework for understanding AI, framing the technology as a drop in the cost of prediction and exploring its impact on decision-making.
View on Amazon