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Scaling AI with Adaptive Governance

Lanzolla, G. ORCID: 0000-0002-6590-2668, Pagani, M. & Tucci, C. L. (2026). Scaling AI with Adaptive Governance. MIT Sloan Management Review, 67(Summer),

Abstract

As organizations adopt diverse flavors of AI more widely and scale applications across the enterprise, managing new risks that arise in the development process or during application use becomes increasingly complex. New and adaptive forms of governance must be put in place and systematically embedded across processes so that companies can gain the benefits of moving quickly with AI innovation without exposing themselves or stakeholders to harms.

Publication Type: Article
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HN Social history and conditions. Social problems. Social reform
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Bayes Business School
Bayes Business School > Faculty of Management
SWORD Depositor:
[thumbnail of MIT SMR Adaptive AI governance-final draft 2-13-2025 vf.pdf]
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