Breaking AI Boundaries: Fairness Metrics in Unstructured Data Domains

🔊 Recorded at PyCon DE & PyData Berlin 2024, 23.04.2024
2024.pycon.de/...
🎓 Watch as Daniel Klitzke, a seasoned AI professional, delves into the importance and challenges of applying fairness metrics in unstructured data domains, offering practical solutions and introducing open-source tools for implementation.
Speakers:
Daniel Klitzke
Description:
Daniel Klitzke, a Full Stack Data Scientist, delivered a compelling talk on "Breaking AI Boundaries: Fairness Metrics in Unstructured Data Domains." The presentation emphasized the importance of utilizing fairness metrics in domains like automotive engineering, where the indirect human impact of machine learning models is less apparent. Klitzke explored the necessity, benefits, and challenges of applying fairness-related techniques in such contexts, highlighting solutions to overcome identified obstacles. The talk focused on strategies for applying fairness metrics in unstructured data domains, such as image and audio recognition and large text document analysis. Klitzke addressed key issues like detecting subgroups in unstructured data and providing clear explanations for model failures. He also introduced practical solutions with open-source tools like Sliceguard and Spotlight, aiming to facilitate the effective implementation of fairness metrics in machine learning models. Overall, the talk provided valuable insights into expanding the application of fairness metrics in diverse engineering use cases, shedding light on the significance of considering fairness in AI development beyond traditional domains.
⭐️ About PyCon DE & PyData Berlin:
The PyCon DE & PyData conference unite the Python, AI, and data science communities, offering a unique platform for collaboration and innovation. The PyCon DE & PyData Berlin 2024 conference, hosted in partnership with the local Berlin PyData chapter, provided an exceptional experience, fostering deeper connections within the Python community while showcasing advancements in AI and data science. Attendees enjoyed a diverse and engaging program, solidifying the event as a highlight for Python and AI enthusiasts nationwide.
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• Python Softwareverband e.V.: pysv.org
• NumFOCUS Inc.: numfocus.org
• Pioneers Hub gemeinnützige GmbH: pioneershub.org
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Acknowledgements:
Special thanks to all the volunteers and sponsors who made this event possible.
About:
Python Softwareverband e.V.:
PySV is a non-profit that promotes the use and development of Python in Germany through events, education, and advocacy, fostering an open Python community.
NumFOCUS Inc.
supports open-source scientific computing by providing financial and logistical support to key projects like NumPy and Jupyter, promoting sustainable development and collaboration.
Pioneers Hub gemeinnützige GmbH:
is a non-profit fostering innovation in AI and tech by connecting experts and promoting knowledge exchange through events and collaborative initiatives.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.