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Competitor Collaboration Before a Crisis: What the AI Industry Can LearnThe Partnership on AI can use the Dynamic Capabilities Framework and lessons from other industries to proactively identify AI risks and create solutions.

  • Sea Matilda Bez
  • , Henry Chesbrough

Research output: Indexed journal article Articlepeer-review

19 Citations (Scopus)

Abstract

Overview: For artificial intelligence (AI) technology to impact society positively, the major AI companies must coordinate their efforts and agree on safe practices. The social legitimacy of AI development depends on building a consensus among AI companies to prevent its potentially damaging downsides. Consortia like the Partnership on AI (PAI) aim to have AI competitors collaborate to flag risks in AI development and create solutions to manage those risks. PAI can apply valuable lessons learned from other industries about how to facilitate collective action but do so proactively rather than after the fact. The Dynamic Capabilities Framework of “sensing, seizing, and transforming” provides a process map for the AI industry to create processes to reduce the risk of a major disaster or crisis.

Original languageEnglish
Pages (from-to)42-48
Number of pages7
JournalResearch Technology Management
Volume63
Issue number3
DOIs
Publication statusPublished - 3 May 2020
Externally publishedYes

Keywords

  • Artificial intelligence
  • Competitor collaboration
  • Dynamic capabilities

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