Emerging Technologies and Disruption

Policy, Regulation, and Societal Challenges

5.1.

Regulatory Frameworks for New Technologies

5.1.1.

The Pacing Problem

5.1.1.1.

Law Lagging Technology

5.1.1.2.

Regulatory Gaps

5.1.1.3.

Innovation vs. Regulation Tension

5.1.1.4.

Case Studies of Regulatory Lag

5.1.2.

Adaptive and Agile Regulation

5.1.2.1.

Principles-Based Regulation

5.1.2.2.

Regulatory Experimentation

5.1.2.3.

Iterative Policy Development

5.1.2.4.

Stakeholder Engagement

5.1.3.

Regulatory Sandboxes

5.1.3.1.

Testing New Business Models

5.1.3.2.

Collaboration with Innovators

5.1.3.3.

Risk Management

5.1.3.4.

Scaling Successful Experiments

5.1.4.

International Coordination and Standards

5.1.4.1.

Global Governance Challenges

5.1.4.2.

Standard-Setting Organizations

5.1.4.3.

Regulatory Harmonization

5.1.4.4.

Cross-Border Enforcement

5.2.

Antitrust and Competition Policy in the Digital Age

5.2.1.

Defining Markets in Platform Economies

5.2.1.1.

Market Definition Challenges

5.2.1.2.

Multi-Sided Market Analysis

5.2.1.3.

Dynamic Competition

5.2.1.4.

Innovation Markets

5.2.2.

Data as a Barrier to Entry

5.2.2.1.

Data Accumulation

5.2.2.2.

Switching Costs

5.2.2.3.

Data Portability

5.2.2.4.

Interoperability Requirements

5.2.3.

Monopoly Power of Big Tech

5.2.3.1.

Market Dominance

5.2.3.2.

Anticompetitive Practices

5.2.3.3.

Predatory Pricing

5.2.3.4.

Exclusive Dealing

5.2.4.

Remedies and Enforcement Tools

5.2.4.1.

5.2.4.2.

5.2.4.3.

5.2.4.4.

5.3.

Data Governance and Privacy

5.3.1.

Economics of Personal Data

5.3.1.1.

Data Monetization

5.3.1.2.

Value of Consumer Data

5.3.1.3.

Data Markets

5.3.1.4.

Privacy Valuations

5.3.2.

Data Ownership Models

5.3.2.1.

5.3.2.2.

5.3.2.3.

5.3.2.4.

5.3.3.

Regulation of Data Collection and Use

5.3.3.1.

General Data Protection Regulation

5.3.3.2.

California Consumer Privacy Act

5.3.3.3.

Cross-Border Data Flows

5.3.3.4.

Consent Mechanisms

5.3.4.

Data Security and Breach Notification

5.3.4.1.

Cybersecurity Requirements

5.3.4.2.

Incident Response

5.3.4.3.

Liability Frameworks

5.3.4.4.

Insurance Markets

5.4.

Intellectual Property Rights

5.4.1.

Patenting AI-Generated Inventions

5.4.1.1.

Inventorship and Ownership Issues

5.4.1.2.

Patentability Criteria

5.4.1.3.

Human Involvement Requirements

5.4.1.4.

Prior Art Challenges

5.4.2.

5.4.2.1.

Authorship and Originality

5.4.2.2.

Use of Training Data

5.4.2.3.

Fair Use Considerations

5.4.2.4.

Licensing Frameworks

5.4.3.

Open-Source vs. Proprietary Models

5.4.3.1.

Licensing Models

5.4.3.2.

Community Development

5.4.3.3.

Commercial Exploitation

5.4.3.4.

Innovation Incentives

5.4.4.

Trade Secrets and Confidentiality

5.4.4.1.

Algorithm Protection

5.4.4.2.

Employee Mobility

5.4.4.3.

Reverse Engineering

5.4.4.4.

Disclosure Requirements

5.5.

Public Policy Responses to Labor Market Disruption

5.5.1.

Education and Reskilling Initiatives

5.5.1.1.

STEM Education

5.5.1.2.

Digital Literacy Programs

5.5.1.3.

Vocational Training

5.5.1.4.

Industry-Education Partnerships

5.5.2.

Lifelong Learning Programs

5.5.2.1.

Adult Education

5.5.2.2.

Micro-Credentials and Certifications

5.5.2.3.

Online Learning Platforms

5.5.2.4.

Employer-Sponsored Training

5.5.3.

Social Safety Nets

5.5.3.1.

Unemployment Insurance

5.5.3.2.

Wage Insurance

5.5.3.3.

Portable Benefits

5.5.3.4.

Transition Assistance

5.5.4.

Universal Basic Income Debates

5.5.4.1.

Arguments For and Against

5.5.4.2.

Pilot Programs and Evidence

5.5.4.3.

Funding Mechanisms

5.5.4.4.

Implementation Challenges

5.5.5.

Labor Market Regulation and Worker Protections

5.5.5.1.

Gig Worker Classification

5.5.5.2.

Collective Bargaining Rights

5.5.5.3.

Minimum Wage Policies

5.5.5.4.

Working Time Regulations

5.6.

Ethical Considerations

5.6.1.

Algorithmic Bias and Fairness

5.6.1.1.

Sources of Bias

5.6.1.2.

Mitigation Strategies

5.6.1.3.

Fairness Metrics

5.6.1.4.

Auditing Mechanisms

5.6.2.

Transparency and Explainability of AI

5.6.2.1.

Black Box Problem

5.6.2.2.

Interpretability Techniques

5.6.2.3.

Right to Explanation

5.6.2.4.

Algorithmic Accountability

5.6.3.

Accountability for Autonomous Systems

5.6.3.1.

Liability and Responsibility

5.6.3.2.

Human Oversight

5.6.3.3.

Moral Agency

5.6.3.4.

Legal Frameworks

5.6.4.

Bioethics in Genetic Engineering

5.6.4.1.

Germline Editing

5.6.4.2.

Consent and Privacy

5.6.4.3.

Enhancement vs. Treatment

5.6.4.4.

Distributive Justice

5.6.5.

Societal Impacts of Emerging Technologies

5.6.5.1.

Social Trust

5.6.5.2.

Public Perception and Acceptance

5.6.5.3.

Democratic Participation

5.6.5.4.

Cultural Values

4. Macroeconomic Consequences

Go to top

Back to Start

1. Foundations of Technological Disruption