Ethical Considerations About the Implications of Artificial Intelligence in Finance

The German Act on Autonomous Driving: Why Ethics Still Matters

“…For instance, the AI4People framework (Floridi et al, 2018 ) defines five overarching principles for AI use and development, stating that AI should have a clear benefit (beneficence), be fair (fairness), not allow others to harm individuals (non-maleficence), be transparent and comprehensible for users (explicability) and not render human beings unfree (autonomy). Moreover, researchers have attached specific importance to biases due to data input or ill-calibrated algorithms that could lead to cases of discrimination against minorities (Floridi & Cowls, 2019 ; Max et al, 2021 ). Likewise, in human rights scholarship on AI, researchers have identified non-discrimination and human autonomy as the main pillars of ethical AI (Kriebitz & Luetge, 2020 ).…”

Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning

“…In addition, discussing facial recognition, Selinger and Leong (2021) note several times that their conclusions will vary between contexts such as law enforcement, employment, or marketing, suggesting that porting their insights to those domains will require additional work. Critiquing the use of AI for finance, Max et al (2020) identify, among other issues, "the individualization of service offerings" (578). But notice this issue is more pertinent in finance, where individualization risks price discrimination-while this same feature might be good in another domain.…”