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Developing an inner AI ethics committee to weigh and choose really hard troubles. Crafting data ethics checklists and requiring entrance-line facts researchers to fill them out. Reaching out to academics, former regulators and advocates for alternative perspectives. Conducting algorithmic effect assessments of the kind previously in use in environm