Resistance and refusal to algorithmic harms: Varieties of ‘knowledge projects’

Industrial, academic, activist, and policy research advocacy movements formed around resisting ‘machine bias’, promoting ‘ethical AI’, ‘fair ML’ have discursive implications for what constitutes harm, resistance to algorithmic influence itself means, is deeply connected which actors makes epistemic claims about harm resistance. We present a loose categorization of kinds systems: dominant mode as ‘filtering up’ being translated into design fixes by Big Tech; scholarship bring critical frame lived experiences systems socio-technical entities. Three recent cases delve how Tech responds harms documented marginalized groups; these highlight are valued differently. Finally, we identify modes refusal that recognize the limits Tech's resistance; built on practices feminist organizing, decoloniality, New-Luddism, they encourage rethinking place value technologies in mediating human social personal life; not just can deterministically ‘improve’ relations.