Studying AI and intimacy: Kate Devlin from King’s College focuses on women in the field

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– TechCrunch launching a series of interviews to highlight remarkable women who’ve contributed to the AI revolution
– Kate Devlin, lecturer at King’s College London, researching human interaction with AI and robots
– Challenges of the male-dominated tech industry and the importance of women taking up space in the AI field

TechCrunch is launching a series of interviews to spotlight women who have made significant contributions to the AI revolution, giving them the recognition they deserve. Kate Devlin, a lecturer in AI and society at King’s College London, is one of the remarkable women being featured in this series. Her research focuses on the ethical and social implications of technology and intimacy, exploring how people interact with AI and robots.

Devlin has been actively involved in initiatives such as running the U.K.’s first sex tech hackathon and directing advocacy for socially beneficial robotics and AI systems. She is also a board member of the Open Rights Group, working to preserve digital rights and freedoms. Devlin’s work in studying the relationship between intimacy and AI has been groundbreaking in the academic field.

In navigating the challenges of the male-dominated tech industry, Devlin emphasizes the importance of perseverance and encouraging more women to pursue careers in AI. She believes that systemic changes are needed to address sexism and create a more inclusive environment for women in the field. When asked about the most pressing issues facing AI, Devlin highlights the importance of responsibility, accountability, and ethical considerations in the development of AI technology.

For women seeking to enter the AI field, Devlin advises them to assert their space and not be intimidated by male dominance. She emphasizes the need for regulation, conscience, and ethical considerations in building AI responsibly. Investors are encouraged to prioritize human rights, labor, sustainability, and social impact in their AI investments to ensure responsible development and deployment of AI technology.

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