Earlier in the year I completed a very interesting course on the business applications of Artificial Intelligence tools and their key use cases.
This gave me a chance to revisit my previous experience sponsoring AI and Machine Learning projects in digital transformation programmes.
Summer is here, so I thought I'd grab a few books from my shelves to re-read whilst I reflect on the technologies, philosophies, and sociologies of Artificial Intelligence.
- Artificial intelligence: a guide for thinking humans Mitchell, M. (2020)
- Human compatible: artificial intelligence and the problem of control, Russell, S. (2020)
- The age of AI: and our human future, Kissinger, H., Schmidt, E., Huttenlocher, D. (2022)
- The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Domingos, P. (2017)
- DEEP THINKING: where machine intelligence ends and human creativity begins, Kasparov, G. (2018)
- On intelligence, Hawkins, J., Blakeslee, S. (2005)
- Radical technologies: the design of everyday life, Greenfield, A. (2018)
- The signal and the noise: the art and science of prediction, Silver, N. (2012)
- Co-intelligence: living and working with AI, Mollick, E. (2024)
- Human + machine: reimagining work in the age of AI, Wilson, H., Daugherty, R. (2018)
- Tools and weapons: the promise and the peril of the digital age, Smith, B., Browne, C. A. (2019)
- The singularity is near: when humans transcend biology, Kurzweil, R. (2009)
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3 个月Very interesting pile, Alan Coughtrey. Curious to hear your highlights, recommendations and what has stood the test of time as a few of these have been around a little while (or a long time in AI terms).