Additional Comments on the “White Paper: On Artificial Intelligence - A European approach to excellence and trust”

2022

Citations in the corpus

• Mathematical optimization in classification and regression trees (2021, methodology): “…(Benítez-Peña et al. 2020a) or in credit scoring in consumer lending (Baesens et al. 2003), the reason being the so-called right-to-explanation in algorithmic decision-making, imposed by the European Union since 2018 (European Commission 2020; Goodman and Flaxman 2017; Wachter et al. 2017).”
• Trustworthy Artificial Intelligence: A Review (2022, background): “• R2: To govern the operation of AI systems, some guidelines have been developed [43, 92].”
• The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021, background): “…to excellence and trust ” highlights the impact of AI on climate change mitigation and adaptation in its first paragraph and again throughout (European Commission 2020g); and • The “ New industrial strategy for Europe ” asserts that Europe “ needs an industrial sector] that becomes greener…”
• An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era (2022, background): “…Intelligence explicitly states that humans should be made cognizant of the fact that they are interacting with an artificial entity under all circumstances [183], but the question remains if that is sufficient to mitigate the potential dangers that could arise from “overhumanizing” those entities.”
• Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs (2020, background): “AI system itself, but also for compliance with legislation [21,9], knowledge distillation from such a system [34], and post-hoc verification of the model [50].”