The AI trilemma: Saving the planet without ruining our jobs
Frontiers in Artificial Intelligence, ISSN: 2624-8212, Vol: 5, Page: 886561
2022
- 18Citations
- 40Captures
- 2Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations18
- Citation Indexes12
- 12
- Policy Citations6
- 6
- Captures40
- Readers40
- 40
- Mentions2
- Blog Mentions1
- 1
- News Mentions1
- 1
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Article Description
Digitalization and artificial intelligence increasingly affect the world of work. Rising risk of massive job losses have sparked technological fears. Limited income and productivity gains concentrated among a few tech companies are fueling inequalities. In addition, the increasing ecological footprint of digital technologies has become the focus of much discussion. This creates a trilemma of rising inequality, low productivity growth and high ecological costs brought by technological progress. How can this trilemma be resolved? Which digital applications should be promoted specifically? And what should policymakers do to address this trilemma? This contribution shows that policymakers should create suitable conditions to fully exploit the potential in the area of network applications (transport, information exchange, supply, provisioning) in order to reap maximum societal benefits that can be widely shared. This requires shifting incentives away from current uses toward those that can, at least partially, address the trilemma. The contribution analyses the scope and limits of current policy instruments in this regard and discusses alternative approaches that are more aligned with the properties of the emerging technological paradigm underlying the digital economy. In particular, it discusses the possibility of institutional innovations required to address the socio-economic challenges resulting from the technological innovations brought about by artificial intelligence.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85141147852&origin=inward; http://dx.doi.org/10.3389/frai.2022.886561; http://www.ncbi.nlm.nih.gov/pubmed/36337142; https://www.frontiersin.org/articles/10.3389/frai.2022.886561/full; https://dx.doi.org/10.3389/frai.2022.886561; https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2022.886561/full
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