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Questions to consider in key stages of AI and machine learning based research, regarding aims and risks

project-design reflection-questions

“The aim, purpose, and perceived benefits of a project need to be clearly stated as a crucial first step of an ethical analysis. Emerging risks will be judged against these in a balancing exercise. Some AI scholars would claim that stating a too narrow aim would prevent the model from performing properly as the strength of AI lies in processing large amounts of data inductively (Alpaydin, 2016; Shirky, 2005). Other critical algorithmic researchers would claim that we need to disclose potential power structures in these loose spaces of operation (Bechmann & Bowker, 2019; boyd & Crawford, 2012; Crawford & Calo, 2016; Sandvig, Hamilton, Karahalios & Langbort, 2016). - Can the researcher articulate what their work aims to uncover?- How will this research contribute to the state of the art in understanding Internetrelated phenomena? - How will the research benefit society and specific stakeholders? - Will the research aims create potential risks of harm for the individuals and groups involved directly or indirectly? - If a generic aim is used how may the researchers/developers influence the field and subjects directly and indirectly involved?” (franzke et al., 2020, p. 37)

Overarching Principles Merit and Integrity Beneficence
Sources AoIR report 3
Title Questions to consider in key stages of AI and machine learning based research, regarding aims and risks