AI and Bias

Antonia recommended allowing users to choose their preferred interaction method with AI, citing studies on the adoption and effectiveness of generative AI chatbots. She also shared an example of bias audits being used in recruitment software to reduce bias. Antonia concluded by reminding us that AI is just a tool and emphasized the importance of being aware of bias and making ethical decisions when using this technology.

It seems that in this conversation, Antonia is discussing various aspects of AI and its impact on society. She touches upon the importance of addressing bias in AI systems, especially in areas like recruitment, medical imaging, and accessibility for marginalized communities. She also mentions the use of AI tools to spot fakes and discusses which jobs are least likely to be replaced by AI due to their requirement for human dexterity and empathy. The conversation concludes with Antonia emphasizing that AI is just a tool and its ethical and equitable use depends on how we as individuals and society choose to employ it.

AI has the power to shape our world, and is increasingly becoming part of our daily lives - but what happens when it inherits society’s biases? This talk dives into the hidden bias and stereotyping in AI, from hiring algorithms to facial recognition systems. We’ll learn how training data fuels these problems, and how AI can reinforce prejudiced beliefs in users, including real-world examples from tech giants like Amazon and LinkedIn. But it’s not all bad news - there are ways to fix it. Get ready for eye-opening examples, shocking data, and real solutions to make AI fairer for all.

LGBTQ+, It's Natural

"When I came out of the closet I was blackmailed, threatened, even bribed. But of all the shocking words that were said to me, three stood out in particular - 'It's not natural'." Antonia Forster, a bisexual, non-monogamous biologist, challenges the notion that certain behaviors are unnatural, often used to justify bigotry against LGBT and non-traditional individuals. Join her in this inspiring session to explore what "natural" means, whether animals can be gay, and if there are always two sexes, revealing the animal kingdom in a whole new light.

 

Closing the Gender Gap in Tech

It is no secret that technology is having a diversity crisis. Despite initiatives to diversify, technology is still perceived as a predominantly white, male, middle-class industry. But this wasn't always the case - in 1943, computing was dominated by women. What happened? Join Antonia Forster, XR Technical Specialist, for a data-driven exploration of the gender gap:- how it affects your bottom line, how AI and machine-learning reinforce bias, and how we can employ evidence-based strategies to combat it.