BIAS: BUILT THIS WAY is an interactive, thought-provoking exploration of preferences, prejudices and digital equity.

This new season by Science Gallery Dublin interrogates how prejudice can move quickly from human to machine as algorithms and artificial intelligence systems are encoded by humans with very human values, preferences and predispositions.

This October, we’re reopening our doors with a new exhibition with commissions from cutting-edge Irish and international artists, and online, we’re launching a unique digital exhibition showcasing digital artworks exploring data equity, privacy, surveillance culture, facial recognition, class and artificial intelligence.

Can understanding human bias help build more ethical AI? Or can understanding machine bias help build more equitable societies? What can a deeper look at bias in humans and machines teach us about ourselves? Find out for yourself at BIAS: BUILT THIS WAY.

EXHIBITS

Featured

Most Likely to Succeed

Fair is fair... isn’t it?

Flag For Removal

What’s it like to be a human worker in a world designed for algorithms?

Your Balanced Media Diet

Is awareness of your media consumption the first step in combating it?

CLASSES

How are invisible biases translated into code?

The Last Judgement

How would a machine interpret Renaissance artworks?

Dark Matters

What does bias sound like?

Perception iO

Can emotions betray prejudice? And could a machine read them?

Zizi - Queering the Dataset

What can drag teach AI?

The Uncanny Valley of Breath

What does a breath mean to a machine?

SKU-Market

Who does an algorithm think you are?

NORMALIZI.NG

What does normal look like?

Cloud Face

How do humans and machines interpret and process data?

Laws of Ordered Form

How are datasets created, and who gets to decide?

The Glass Room Lab

What can be done to help everyday users think about and use technology differently?

Curatorial Advisors

BIAS was curated with Julia Kaganskiy and ADAPT, the Science Foundation Ireland Research Centre for AI Driven Digital Content Technology.

Supporters

This programme was supported by Accenture Labs, in Accenture’s flagship R&D and global innovation centre, The Dock, and the European ARTificial Intelligence Lab, co-funded by the Creative Europe Programme of the European Union. BIAS is supported by The Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media.