Selena Nemorin:   If I am to look at bias in algorithmic systems I should at least try to understand my own biases first, no?

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Selena Nemorin:   If I am to look at bias in algorithmic systems I should at least try to understand my own biases first, no?
editor_iot
9/07/2021 – 14:41

Selena Nemorin:  Through its institutional processes of normalization, power hides rather than reveals and interprets the relationships that characterize its control over society and life.
—Hardt & Negri, Empire 
What colour am I? On growing up
I’d like to revisit something I mentioned briefly in my last project update: identity. I’m not sure if this is an experience felt across a general population, or if it’s just me, but the older I get the more I realise how much the journey of understanding my ‘self’ is implicated in the kinds of research I do. Re-reading my last update about open and transparent education research, I can’t help but think about the limitations of my own research design in terms of personal bias. If I am to look at bias in algorithmic systems I should at least try to understand my own biases first, no? So, this project update is one that reflects on a limitation of my research project: me.

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