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The AI trilemma: Saving the planet without ruining our jobs
1International Labour Organization, Department of Research, Geneva, Switzerland.
Frontiers in Artificial Intelligence
|November 7, 2022
Summary
Digitalization and artificial intelligence present a trilemma of inequality, low productivity, and environmental costs. Policymakers should promote network applications to ensure widely shared societal benefits from technological progress.
Area of Science:
- Digital Economy
- Technological Progress
- Socio-economic Challenges
Background:
- Digitalization and AI are transforming the workforce, raising concerns about job losses and economic inequality.
- The environmental impact of digital technologies is a growing concern.
- A trilemma exists: rising inequality, stagnant productivity, and high ecological costs from technological advancement.
Purpose of the Study:
- To address the trilemma posed by digital transformation.
- To identify specific digital applications that should be promoted.
- To outline policy recommendations for navigating technological progress.
Main Methods:
- Analysis of the scope and limitations of current policy instruments.
- Discussion of alternative policy approaches aligned with the digital economy paradigm.
- Examination of institutional innovations for socio-economic challenges.
Main Results:
- Policymakers can foster societal benefits by creating conditions for network applications (transport, information exchange, supply, provisioning).
- Shifting incentives towards applications that mitigate the trilemma is crucial.
- Current policy tools have limitations in addressing these complex challenges.
Conclusions:
- Promoting network applications can lead to widely shared societal benefits.
- Institutional innovations are necessary to manage socio-economic challenges arising from AI.
- A strategic policy shift is required to harness digital technology for inclusive and sustainable growth.
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