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Researchers Explore the Intersection of Artificial Intelligence and Human Intimacy at King’s College

As we continue to navigate the rapidly evolving landscape of artificial intelligence, it’s essential to acknowledge and celebrate the remarkable contributions made by women in this field. At TechCrunch, we’re dedicated to shining a light on these trailblazers, highlighting their work, and sharing their insights.

In this exclusive interview, we sit down with Kate Devlin, a lecturer in AI and society at King’s College London, and author of "Turned On: Science, Sex and Robots." Devlin is a leading expert in the field, investigating how people interact with and react to technologies – both past and future. Her work has sparked crucial conversations about the ethics and social implications of tech and intimacy.

Getting Started in AI

So, Kate, let’s start from the beginning. How did you first get involved in AI?

As an archaeologist turned computer scientist, I initially aimed to integrate my two passions by completing a PhD in computer science in 2004. However, I found myself focusing more on human-computer interaction and how people interact with AI and robots – including their reception of these technologies.

Proud Moments in the Field

What work are you most proud of in the AI field?

I’m pleased that intimacy and AI is now taken seriously as an academic area of study. The research being conducted in this space is truly remarkable, and it’s heartening to see how people are forming meaningful relationships with chatbots – genuinely meaningful connections that hold significance for those involved.

Navigating the Male-Dominated Tech Industry

As a woman in a male-dominated field, how do you navigate these challenges?

I don’t try to ‘lean in’ or compete within this environment. Instead, I focus on creating change from within by advocating for more inclusive practices and promoting diversity in STEM education. It’s essential that we address sexism in schools and beyond, recognizing the need for systemic change to prevent the ‘leaky pipeline.’

Advice for Women Entering AI

What advice would you give to women seeking to enter the AI field?

You have the right to take up as much space as the men – it’s time to reclaim your place in this industry. Don’t be afraid to challenge the status quo and push for meaningful change.

The Future of AI: Pressing Issues

As we look ahead, what are some of the most pressing issues facing AI as it evolves?

Responsibility and accountability are critical concerns. We must reject technological determinism, acknowledging that our choices can shape the future – rather than being bound by an inevitable trajectory.

Responsible AI Development

What’s the best way to responsibly build AI?

Regulation and conscience are key. It’s essential for developers to prioritize social responsibility and consider the human impact of their creations.

Investing in Responsible AI

How can investors better push for responsible AI development?

Thinking in purely business terms, companies that prioritize ethics will ultimately have happier customers. Hold these organizations accountable by demanding transparency about their supply chains, labor practices, and commitment to social responsibility.

Conclusion

Kate Devlin’s work serves as a testament to the crucial role women play in shaping the future of AI. Her dedication to exploring the intersections of tech, intimacy, and society has sparked essential conversations and inspired meaningful change.

As we continue to navigate this rapidly evolving landscape, let’s celebrate the contributions made by women like Kate – innovators who are redefining the boundaries of what’s possible in AI.

Recommended Reading

  • "Turned On: Science, Sex and Robots" by Kate Devlin
  • "The AI Now Report 2022" by the AI Now Institute
  • "Responsible AI: A Guide for Developers" by the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

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  • Apps: How to turn off Apple Intelligence-powered notification summaries
  • AI: Researchers open source Sky-T1, a ‘reasoning’ AI model that can be trained for less than $450

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