Periagoge
Scenario

When teams disagree about responsibility for algorithmic bias and fairness

Our team developed an algorithm that works well but has clear bias in how it treats different demographic groups, and we're split on whether we have an obligation to fix it before launch when the client hasn't asked for that. Some people say bias is just reflecting reality in data, others say we're actively perpetuating harm if we don't address it.

More people experience this than they realize.

What we've seen

A group creating something together must decide what obligations they have to prevent their work from perpetuating systemic inequities.

Your guide for this
Juana
Juana works with people navigating exactly this kind of situation.
Ideas that help explain it
Worth thinking about

“Where Are You with Rights — their origin and their limits?”

Peri

Peri can explain why this happens, help you decide if this is the right situation for you, and point toward the right journey or coach.

If this sounds familiar, the Library can help you find the bigger picture.