English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Ethics of algorithms is an emerging topic in various disciplines such associal science, law, and philosophy, but also artificial intelligence (AI). Thevalue alignment problem expresses the challenge of (machine) learning valuesthat are, in some way, aligned with human requirements or values. In this paperI argue for looking at how humans have formalized and communicated values, inprofessional codes of ethics, and for exploring declarative decision-theoreticethical programs (DDTEP) to formalize codes of ethics. This renders machineethical reasoning and decision-making, as well as learning, more transparentand hopefully more accountable. The paper includes proof-of-concept examples ofknown toy dilemmas and gatekeeping domains such as archives and libraries.

From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics