In Data Feminism (MIT Press, 2020), Lauren Klein (Associate Professor at Emory University) and her co-author Catherine D'Ignazio established a set of principles for doing more just and equitable data science. Informed by the past several decades of intersectional feminist activism and critical thought, the principles of data feminism modeled how to examine and challenge power, rethink binaries and hierarchies, elevate emotion and embodiment, consider context, embrace pluralism, and make labor visible. How can these principles be applied to the current conversation about AI, its present harms, and its future possibilities?

Doing AI Differently: Lessons from Intersectional Feminism

This talk will briefly summarize the principles of data feminism before moving to a set of examples that show how these principles can be applied–and extended–in our current technological landscape.

Program

• 19.20 Welcome and Intro: ⚠️ We start 10 minutes earlier - at 19.20 sharp - so we can do the introduction before our speaker joins us.
• 19.30 Data Feminism (talk): Speaker Lauren Klein will join us (virtually) form the US to give a talk about data feminism.
• 20.30 Discussion / open stage: After the session, we have room for discussion about topics discussed during the talk.

Data Night: wat is het?

Data Nights LocHal Tilburg is een groep mensen die geïnteresseerd is in data. Of je nu net begint of je sporen al verdiend hebt, of je er je brood mee verdient of er in je vrije tijd mee bezig bent: je bent van harte welkom.

We organiseren regelmatig bijeenkomsten in het Futurelab in de Bibliotheek LocHal in Tilburg. Daar ontmoet je gelijkgestemden. Je kunt je werk laten zien en het werk van anderen bekijken, feedback vragen en ontvangen en natuurlijk ook samen een project oppakken.

Doe mee met de Data Nights LocHal-groep op Meetup.com en meld je daar aan voor de volgende bijeenkomst.

Let op: De Data Night is Engelstalig tenzij alle deelnemers Nederlands spreken.