DataBytes
DataBytes: Five ways that data visualizations can mislead (and how to fix them)
Visualizations allow people to readily analyze and communicate data. However, many common visualization designs lead to engaging imagery but false conclusions. By understanding what people see when they look at a visualization, we can design visualizations that support more accurate data analysis and avoid unnecessary biases. Join UNC Computer Science Assistant Professor Danielle Szafir on […]
DataBytes: Data Ethics
The National Consortium for Data Science looks forward to hosting Anisha Nadkarni, Data Ethics Officer and Lead Data Analyst at Randstad, on April 20 for our next DataBytes event as she walks us through the practical challenges she faces in work and how she addresses these issues.
DataBytes: AI Ethics Through the Lens of Causality: A Theory of Fairness
The National Consortium for Data Science looks forward to hosting Christopher Lim, CEO of Epistamai, on June 20 for our next DataBytes event as he discusses AI Ethics Through the Lens of Causality: A Theory of Fairness.
DataBytes: The Risks of Facial Recognition Technology: Dismantling the First Amendment Defense
In a lawsuit challenging its surveillance activities, Clearview AI used the First Amendment as a defense. The facial recognition technology company argued that the creation and use of its surveillance product was First Amendment protected speech. Join Talya Whyte, third-year law student at New York University, as she presents a case study on the parties’ […]
DataBytes: Becoming A Data Detective – Holding AI Accountable
via ZoomBias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman, Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU, as she shares key takeaways from her book, The Algorithm: How Al Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to […]
DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
via ZoomThe National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements, standards, and legal metrology to provide recommendations that ensure traceability, enable quality assurance, and harmonize documentary standards and regulatory practices. Their framework is very detailed with […]