Competitor Collaboration Before a Crisis

Sea Matilda Bez (1, 2, 3, 4) , Henry Chesbrough (5)

1 MRM - Montpellier Research in Management
2 Labex Entreprendre
3 UM - Université de Montpellier
4 Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School
5 UC Berkeley - University of California [Berkeley]

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.

Mots clés: Artificial intelligence; Dynamic capabilities; Competitor collaboration

Domaines: Gestion et management

Sea Matilda Bez, Henry Chesbrough. Competitor Collaboration Before a Crisis: What the AI Industry Can Learn. Research technology management, 2020, 63 (3), pp.42-48. ⟨10.1080/08956308.2020.1733889⟩. ⟨hal-02565068⟩