Q3/2021 - UNESCO

Zwischenstaatliches Treffen zum Entwurf der „Recommendation on the Ethics of Artificial Intelligence, Ad-hoc Expertengruppe (AHEG), Paris 21. – 25. Juni 2021

Die 40. UNESCO-Generalkonferenz hatte im Oktober 2019 die Ausarbeitung eines Rechtsinstruments zur Ethik künstlicher Intelligenz beschlossen. Eine „Ad-hoc Expertengruppe“ (AHEG) hat seitdem einen Entwurf erarbeitet, der bei zwei zwischenstaatlichen Expertenkonferenzen im April und Ende Juni 2021 diskutiert wurde. Am 25. Juni 2021 verabschiedete die Expertenkonferenz den Entwurf einer „Recommendation on the Ethics of Artificial Intelligence“[1]. Der Entwurf enthält in acht Kapiteln insgesamt 141 Paragraphen. Er wird der 41. UNESCO-Generalkonferenz, die im Oktober und November 2021 in Paris tagt, zur Beschlussfassung vorgelegt.

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Q3/2021UNESCO
  1. [1] DRAFT TEXT OF THE RECOMMENDATION ON THE ETHICS OF ARTIFICIAL INTELLIGENCE, Paris, 25. Juni 2021, „1.This Recommendation addresses ethical issues related to the domain of Artificial Intelligence to the extent that they are within UNESCO’s mandate. It approaches AI ethics as a systematic normative reflection, based on a holistic, comprehensive, multicultural and evolving framework of interdependent values, principles and actions that can guide societies in dealing responsibly with the known and unknown impacts of AI technologies on human beings, societies and the environment and ecosystems, and offers them a basis to accept or reject AI technologies. It considers ethics as a dynamic basis for the normative evaluation and guidance of AI technologies, referring to human dignity, well-being and the prevention of harm as a compass and as rooted in the ethics of science and technology.2.This Recommendation does not have the ambition to provide one single definition of AI, since such a definition would need to change over time, in accordance with technological developments. Rather, its ambition is to address those features of AI systems that are of central ethical relevance. Therefore, this Recommendation approaches AI systems as systems which have the capacity to process data and information in a way that resembles intelligent behaviour, and typically includes aspects of reasoning, learning, perception, prediction, planning or control.“ In: https://unesdoc.unesco.org/ark:/48223/pf0000377897