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Learning from the Past: How Previous Technological Transformations Can Guide AI Development (2025)
Risto Miikkulainen
, Jerry Smith, and
Babak Hodjat
Artificial Intelligence (AI) is rapidly changing many areas of society. While this transformation has tremendous potential, there are several challenges as well. Using the history of computing and the world-wide web as a guide, in this paper we identify pitfalls and solutions that suggest how AI can be developed to its full potential. If done right, AI will be instrumental in achieving the goals we set for the economy, the society, and the world in general.
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Citation:
arxiv:1905.13178
, 2025.
Bibtex:
@article{miikkulainen:arxiv19, title={ Learning from the Past: How Previous Technological Transformations Can Guide AI Development}, author={Risto Miikkulainen and Jerry Smith and Babak Hodjat}, journal={arxiv:1905.13178}, month={ }, url="http://nn.cs.utexas.edu/?miikkulainen:arxiv25", year={2025} }
People
Babak Hodjat
Collaborator
babak [at] cognizant com
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Areas of Interest
Evolutionary Computation
Other Areas
Applications