Please enable JavaScript.
Coggle requires JavaScript to display documents.
Chapter 1: Redefining Corporate Power in AI Companies - Coggle Diagram
Chapter 1: Redefining Corporate Power in AI Companies
I. Introduction to Theory of Corporate Power
Role of shareholders, executives, directors
Traditional sources of corporate power - capital, resources, influence
Classical liberal corporate model based on profit maximization
II. How AI Technology Companies Challenge Assumptions
B. Inherent structural opacity
Lack of transparency about data practices and decision-making
Undermines accountability and oversight
Closed, proprietary systems and black-box algorithms
C. Novel forms of surveillance and control
Automated systems that can identify, profile, categorize individuals
Paves way for manipulation and limits autonomy
Pervasive collection of user data enables tracking
A. Concentration of economic and data power
Implications for competition and consumers
Data as key asset and source of market power
Dominance of AI field by small number of Big Tech firms
III. Emergence of Unaccountable Corporate Power
Governance gaps in managing new forms of outsized influence
Structural deficiencies in current policy frameworks
Power asymmetries between corporations and publics
IV. Need to Redefine Scope and Locus of Authority
Calls into question shareholder primacy norm
Impetus to expand stakeholders considered in decisions
AI era reveals inadequacies in classical liberal assumptions
Rethink extent of corporate autonomy and self-governance