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Activities & events
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Data Lies Too: Methodological and Ethical Issues with 'Everybody Lies'
2025-03-27 · 18:00
PyData Ireland is excited to present the first meetup of 2025 in association with AI Safety Dublin. AI Safety Dublin is a growing grassroots AI community working to reduce risks from advanced AI by raising awareness, upskilling and creating opportunities for a safer AI world of tomorrow. About This EventJoin us for an insightful examination of the limitations and ethical considerations of big data analysis as presented in Seth Stephens-Davidowitz's popular book "Everybody Lies." While big data offers powerful insights, this talk challenges us to think critically about what data can truly tell us and the ethical boundaries we should observe. Talk DescriptionIn his bestselling book "Everybody Lies," Seth Stephens-Davidowitz claims to use big data to reveal hidden truths about human behavior and answer society's most pressing questions. But how reliable are these conclusions? Can Google searches and social media truly unlock the secrets of human nature? Aonghus McGovern, Staff Product Analyst at HubSpot, will deconstruct the methodological foundations of big data analysis and explore the ethical implications of mining personal data. Through practical examples and case studies, this talk will demonstrate how seemingly compelling narratives can be built on faulty assumptions about data, people, and the complex relationship between the two. Whether you're a data professional, privacy advocate, or simply curious about the limits of big data's explanatory power, this session will equip you with frameworks to approach data analysis more critically and ethically. What You'll Learn
Who Should Attend
About the SpeakerAonghus McGovern, Staff Product Analyst at HubSpot LinkedIn Profile Aonghus brings extensive experience in product analytics, with a focus on balancing data-driven insights with ethical considerations. At HubSpot, he works closely with product teams to develop responsible data practices that respect user privacy while delivering actionable business intelligence. |
Data Lies Too: Methodological and Ethical Issues with 'Everybody Lies'
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