Artificial intelligence is changing everything, from healthcare and beauty tech to social media and surveillance. However, as systems powered by machine learning become increasingly embedded in our daily lives, a critical question arises: Are they working fairly for everyone?That's precisely what Neda Alipur, a PhD researcher at TU Dublin, is tackling through her groundbreaking work on image processing and AI skin tone representation. Host Simon Hodgkins speaks with Neda about her journey into this complex field and the pressing need for more inclusive AI systems in this episode of VistaTalks. This conversation is an important topic and one that goes right to the heart of bias in data and its real-world consequences.00:00 - Neda Alipur - VistaTalks Ep 179 01:30 - Neda's Journey into Image Processing and AI03:42 - Why Skin Tone Representation in AI Matters06:08 - The Problem with Inaccurate Datasets10:25 - Ethical Challenges in Labeling Skin Tone13:25 - Building a More Inclusive Dataset15:41 - Collaboration and Real-World Applications19:10 - Looking Ahead: Fairness as a Core Design PrincipleAbout VistaTalks: VistaTalks has an incredible lineup of guests from around the globe. We love to feature interesting discussions with interesting people from all around the world. Follow VistaTalks on Spotify for all the latest episodes, or subscribe to the show on Apple and Google podcasts. VistaTalks is available on many other podcast platforms. To learn more about VistaTalks, please visit https://www.vistatalks.com Social Media: X - https://x.com/vistatalks Facebook - https://www.facebook.com/VistaTalks Instagram - https://www.instagram.com/vistatalks LinkedIn - https://www.linkedin.com/company/vistatalks

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