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Linguistics and Fairness - Tamara Atanasoska
Manage episode 461624879 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this podcast episode, we talked with Tamara Atanasoska about building fair AI systems.
About the Speaker:Tamara works on ML explainability, interpretability and fairness as Open Source Software Engineer at probable. She is a maintainer of fairlearn, contributor to scikit-learn and skops. Tamara has both computer science/ software engineering and a computational linguistics(NLP) background.During the event, the guest discussed their career journey from software engineering to open-source contributions, focusing on explainability in AI through Scikit-learn and Fairlearn. They explored fairness in AI, including challenges in credit loans, hiring, and decision-making, and emphasized the importance of tools, human judgment, and collaboration. The guest also shared their involvement with PyLadies and encouraged contributions to Fairlearn.
00:00 Introduction to the event and the community
01:51 Topic introduction: Linguistic fairness and socio-technical perspectives in AI
02:37 Guest introduction: Tamara’s background and career
03:18 Tamara’s career journey: Software engineering, music tech, and computational linguistics
09:53 Tamara’s background in language and computer science
14:52 Exploring fairness in AI and its impact on society
21:20 Fairness in AI models26:21 Automating fairness analysis in models
32:32 Balancing technical and domain expertise in decision-making
37:13 The role of humans in the loop for fairness
40:02 Joining Probable and working on open-source projects
46:20 Scopes library and its integration with Hugging Face
50:48 PyLadies and community involvement
55:41 The ethos of Scikit-learn and Fairlearn
🔗 CONNECT WITH TAMARA ATANASOSKA
Linkedin - https://www.linkedin.com/in/tamaraatanasoska
GitHub- https://github.com/TamaraAtanasoska
🔗 CONNECT WITH DataTalksClub
Join DataTalks.Club:https://datatalks.club/slack.html
Our events:https://datatalks.club/events.html
Datalike Substack -https://datalike.substack.com/
LinkedIn: / datatalks-club
183 episodes
Share
Manage episode 461624879 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this podcast episode, we talked with Tamara Atanasoska about building fair AI systems.
About the Speaker:Tamara works on ML explainability, interpretability and fairness as Open Source Software Engineer at probable. She is a maintainer of fairlearn, contributor to scikit-learn and skops. Tamara has both computer science/ software engineering and a computational linguistics(NLP) background.During the event, the guest discussed their career journey from software engineering to open-source contributions, focusing on explainability in AI through Scikit-learn and Fairlearn. They explored fairness in AI, including challenges in credit loans, hiring, and decision-making, and emphasized the importance of tools, human judgment, and collaboration. The guest also shared their involvement with PyLadies and encouraged contributions to Fairlearn.
00:00 Introduction to the event and the community
01:51 Topic introduction: Linguistic fairness and socio-technical perspectives in AI
02:37 Guest introduction: Tamara’s background and career
03:18 Tamara’s career journey: Software engineering, music tech, and computational linguistics
09:53 Tamara’s background in language and computer science
14:52 Exploring fairness in AI and its impact on society
21:20 Fairness in AI models26:21 Automating fairness analysis in models
32:32 Balancing technical and domain expertise in decision-making
37:13 The role of humans in the loop for fairness
40:02 Joining Probable and working on open-source projects
46:20 Scopes library and its integration with Hugging Face
50:48 PyLadies and community involvement
55:41 The ethos of Scikit-learn and Fairlearn
🔗 CONNECT WITH TAMARA ATANASOSKA
Linkedin - https://www.linkedin.com/in/tamaraatanasoska
GitHub- https://github.com/TamaraAtanasoska
🔗 CONNECT WITH DataTalksClub
Join DataTalks.Club:https://datatalks.club/slack.html
Our events:https://datatalks.club/events.html
Datalike Substack -https://datalike.substack.com/
LinkedIn: / datatalks-club
183 episodes
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Similar to DataTalks.Club
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
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Go offline with the Player FM app!
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