Future Problem-Solving: Artificial Intelligence & Other Wildly Complex Issues

Imagine a bright future for philanthropic and government problem-solving. There is a version of the development of artificial intelligence, open datasets, and equitable philanthropic practices that could enable societies to solve their most complex problems much more effectively than is possible today. Philanthropy has been shifting from a model of charitable giving toward support for systems-level change. In recent decades, new digital technologies have largely served private ends, such as wealth creation and industrial efficiencies, rather than the public interest. Datasets are too often held in private hands for proprietary ends. These factors could converge in a more positive direction for a wider array of humans. This future will not come about on its own if left to private markets alone. But with planning and foresight, a brighter future for the climate, international peace, economic inclusion, and other broad societal goals is within reach.

Authors

Publication Details

Journal
Daedalus
Published
2025-01-01
DOI
https://doi.org/10.1162/daed.a.8
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Future Problem-Solving: Artificial Intelligence & Other Wildly Complex Issues

John Palfrey
Daedalus
Big Data and Business Intelligence
article

Future Problem-Solving: Artificial Intelligence & Other Wildly Complex Issues

John Palfrey
article en

Abstract

Imagine a bright future for philanthropic and government problem-solving. There is a version of the development of artificial intelligence, open datasets, and equitable philanthropic practices that could enable societies to solve their most complex problems much more effectively than is possible today. Philanthropy has been shifting from a model of charitable giving toward support for systems-level change. In recent decades, new digital technologies have largely served private ends, such as wealth creation and industrial efficiencies, rather than the public interest. Datasets are too often held in private hands for proprietary ends. These factors could converge in a more positive direction for a wider array of humans. This future will not come about on its own if left to private markets alone. But with planning and foresight, a brighter future for the climate, international peace, economic inclusion, and other broad societal goals is within reach.

DaedalusVol. 154(3)
Reduced inequalities
Openalex Percentile: Top 65%
Big Data and Business Intelligence
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