Inclusive Innovation in the Age of AI and Big Data.

Format:

Book

Author/Creator:

Lim, Daryl.

Language:

English

Physical Description:

1 online resource (400 pages)

Edition:

1st ed.

Place of Publication:

New York : Oxford University Press, Incorporated, 2026.

Summary:

This accessible, interdisciplinary volume brings together established and emerging voices from across the world to critically examine issues lying at the intersection of innovation, intellectual property, and inequality in the age of artificial intelligence and big data.

Contents:

Cover

Half Title

Title Page

Copyright Page

Contents

Foreword

Acknowledgments

About the Editors

List of Contributors

Introduction

The Emerging Debate on Inclusive Innovation

Three Core Questions

Inclusive Innovation and Intellectual Property

AI-Driven Innovation and New Equitable Concerns

Pathways to Inclusive Innovation

Structure of This Volume

Innovation Gaps and Demographics

Disparities in the Patent System

Initiatives to Promote Inclusive Innovation

AI Technology and Equitable Development

AI-Driven Innovation and Global Challenges

Part I. Innovation Gaps and Demographics

1 The State of Inclusivity in Copyright and Creative Ecosystems

Gender of Authors

Socioeconomic Characteristics of Authors

Race/Ethnicity of Authors

Disclaimer

2 Understanding Demographics in Patent Data

Demographic Trends in Patenting

Individual Disambiguation

Gender Attribution

Understanding Representation in Patent Applications Versus Granted Patents

Discussion

3 Gender Differences in Intellectual Property Awareness: Evidence from a Global Survey

Literature Review

Factors Contributing to Women Underrepresentation

Awareness about IP Rights and Participation

Consequences of Underrepresentation

Data and Descriptive Statistics

Empirical Strategy

Results

Knowledge about IP Rights

Perceptions of IP Rights

Discussion and Conclusions

Part II. Disparities in the Patent System

4 The Gender Gap in Academic Patenting

Data Reflecting Academic Patent Applications

Analysis of Patent Applications

Data Collection

Descriptive Analysis

Primary Findings

Proposals

Conclusion

Acknowledgments.

5 Patent Attorneys and the Increasing Use of Artificial Intelligence: A "Thought Experiment" on Our Human and Technological Gatekeepers

Some Potential Biases of Patent Attorneys

Gendered Concepts

The Patent Attorney

The Body but Not the Mind

Some Potential Effects of Generative AI

Learning from Our Mistakes

6 Inventing Fairness: Exploring AI's Role in Patent Reform

Case Study

Human Biases in the Patent Process

Biases in Writing the Patent Application

Biases in the Examination Process

AI Experiment

Part III. Initiatives to Promote Inclusive Innovation

7 Inclusive Innovation in an Age of AI: Insights from the Innovator Diversity Pilots Initiative

Why Inclusive Innovation Matters

Direction, Impact, and Quality of Innovation

Growing the Economy through Expansion of the Talent Pool and the Efficient Allocation of Talent

Inclusive Innovation as a Global Competitiveness Lever

Insights about Challenges to Inclusive Innovation and Invention and How to Overcome Them

Frictions in the Innovation Process

Prefiling Barriers

Patent Prosecution Barriers

Post-Grant Commercialization Barriers

Enablers of Inclusivity in Innovation and Invention

Blockers and Enablers to Inclusive Innovation in the Legal Profession

Barriers to Becoming a Patent Professional

Turning the Tide and Enabling Inclusivity

8 Improving Diversity and Inclusivity Measurements in Inventorship: A Competitiveness Perspective

Patents as a Sensor for Invention and Innovation Activities

Invention vs. Innovation

Patents Are Imperfect Sensors of Inventive Activity

The Challenges of Benchmarking Diversity in Inventorship.

Differences Between Measuring Diversity and Measuring Inclusivity

Inclusivity First-Insights from the Diversity Pledge

9 Bridging the Gender Gap in Innovation: A Behavioral Approach to Inclusivity

Behavior and Gender in Innovation

Language, Bias, and Innovation

Gender and Innovation Bias

Promoting Gender Inclusion in the Patenting Process

Data, Methodology, and Results

Experiment 1: Leadership Involvement in Inclusive Innovation

Experiment 2: Simplifying the Patent Submission Process

Experiment 3: Dedicated Online Submission Platform

Experiment 4: Storytelling Videos to Redefine Innovator Perceptions

Experiment 5: Removing Biased Terms with Inclusive Language in Innovation Conversations

Part IV. AI Technology and Equitable Development

10 Identifying Potential Inlets of the Biocentric Man in the Artificial Intelligence Development Process

Understanding the Biocentric Man

The AI Development Process

Identifying Problems and AI-Based Solutions

Selecting Development Processes and Managing Resources

Dataset Development and Data Processing

Model Development

Concluding the Development Process

Racialized Artifacts and Creating Solutions

11 Taking Stock: What Statistics Can and Cannot Do

The Importance of Interpretable Models: Admissions at the University of Michigan

The Difficulty of Inferring Causation: Blind Auditions

The Streetlight Effect: The Paradox of Sexism in Academic Science

12 Equitable Progress and the Regulation of AI

Measuring Equitable Progress

Rawlsian Justice

Participatory Governance

Autonomy and Dignity

Squaring Trade-offs: Innovation and the Imperative of Equity

Innovation and Equity.

Transparency and Performance

Accountability and Liability

Economic Benefits and Workforce Displacement

Equity as the Foundation for Global AI Governance

Fragmentation

Cooperation

Reframing

13 Responsibility, Transparency, and Accountability in AI Patents

AI-Related Patents

Responsibility

Transparency

Accountability

Why the Patent System?

Part V. AI-Driven Innovation and Global Challenges

14 Navigating Turbulence: The Challenge of Inclusive Innovation in the U.S.-China AI Race

Data Privacy

United States

China

Copyright

Using Copyrighted Work as Training Data

Copyrightability of AI-Generated Content

Export Restrictions

15 Bridging the Global Artificial Intelligence Divide

Challenges

Six Policy Options

Intellectual Property Reforms

International Technology Transfer Obligations

Global Fund for AI

AI Resource Pools

Open Innovation and Datasets

Indigenous Innovation

Three Key Takeaways

Inclusive Innovation

Enabling Environment

Technological Change

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-19-779942-6

0-19-779944-2

9780197799420

OCLC:

1572180974