Gender Reboot: Reprogramming Gender Rights in the Age of AI

Foreword
Preface
Acknowledgments
Contents
List of Tables
1 Introduction: Reprogramming Gender Norms
	1.1 Reprogramming Gender Norms—A Trajectory
	1.2 Salsa Dancing into Equality
	1.3 Why this Book, Now?
	1.4 The Subconscious Propagation of Biases
	1.5 Giving Women Back Their Place
	1.6 The Ethics of the Future
	1.7 Generating Returns Before Building Meaning
	1.8 Ethics and Policy of AI
	1.9 The Public and the Private Sphere
	1.10 Can We Reprogram Gender Norms?
	References
Part I Work
2 Woman Is to Housewife as Man Is to Programmer
	2.1 The Right to Work
	2.2 Stifled by Stereotypes
	2.3 COVID-19 and the Second Shift
	2.4 The Family or Career Paradox
	2.5 Multilateral Efforts against Discrimination
	2.6 Reprogramming Gender Rights at Work
	2.7 Suggested Discussion Questions
	Notes
	References
3 Rebalancing the Distribution of Unpaid Duties
	3.1 First Generation Househusbands
		3.1.1 Can a Midwife Be a… Man?
		3.1.2 Fatherhood and Returning to the Roots
	3.2 Lean In or Lean Out?
	3.3 Learning to Parent
	3.4 Robot Teachers
	3.5 Corporate Policies and Social Norms
	3.6 Suggested Discussion Questions
	References
4 Leadership in the Public Sphere
	4.1 Barriers to Women’s Leadership at Work
	4.2 The Trap of Long Work Hours
	4.3 Negative Perceptions of Female Leaders
	4.4 The Third Way: Consulting
	4.5 Women and Motherhood in Government
	4.6 Suggested Discussion Questions
	Note
	References
Part II Being
5 Strength and the Power of Sport
	5.1 Women in Strength
	5.2 The Superwoman Schema
	5.3 The Sports Pay Gap
	5.4 Sport for Equality
	5.5 Empowerment in the Gym
	5.6 Suggested Discussion Questions
	References
6 Physical and Virtual Safety
	6.1 Types of AI Used in Gender-Based Violence
	6.2 The Tay Twitter Bot
	6.3 How Media Can Cause Violence4
	6.4 AI to Make Women Safer
	6.5 Suggested Discussion Questions
	Notes
	References
7 Sexual Stereotypes and Body Image
	7.1 Physical Stereotypes and AI
	7.2 Robots that Never Age
	7.3 Fembots and Sexbots
	7.4 From Physical to Digital Representations
	7.5 Protecting Women from Sexual Violence
	7.6 Suggested Discussion Questions
	References
Part III Learning
8 Learning Gender Roles
	8.1 Gender Education: A Global Challenge
	8.2 Male Role Models
	8.3 Preparation for the Workforce
	8.4 Gender Neutrality in Education
		8.4.1 Radical Solutions in Iceland
	8.5 Gender Compensatory Activities
	8.6 Suggested Discussion Questions
	References
9 Machine Learning and Collective Unintelligence
	9.1 How Recommendation Systems Learn
	9.2 Passing the Turing Test
	9.3 Scrum and Financial Incentives
	9.4 Collective Unintelligence1
	9.5 Suggested Discussion Questions
	Note
	References
10 Conclusion: Gender Reboot
	Notes
	References
Index