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Speculations on Uncertainty and Humane Algorithms

arXiv 2408.06736 ↗First posted 13 Aug 2024cs.CY cs.AIcited by 0

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Abstract (arXiv)

The appreciation and utilisation of risk and uncertainty can play a key role in helping to solve some of the many ethical issues that are posed by AI. Understanding the uncertainties can allow algorithms to make better decisions by providing interrogatable avenues to check the correctness of outputs. Allowing algorithms to deal with variability and ambiguity with their inputs means they do not need to force people into uncomfortable classifications. Provenance enables algorithms to know what they know preventing possible harms. Additionally, uncertainty about provenance highlights the trustworthiness of algorithms. It is essential to compute with what we know rather than make assumptions that may be unjustified or untenable. This paper provides a perspective on the need for the importance of risk and uncertainty in the development of ethical AI, especially in high-risk scenarios. It argues that the handling of uncertainty, especially epistemic uncertainty, is critical to ensuring that algorithms do not cause harm and are trustworthy and ensure that the decisions that they make are humane.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 91 references that are in the map. First posted on arXiv 13 Aug 2024.

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References · 20

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8 more
  1. 2018The Measure and Mismeasure of Fairnesscited by 95
  2. 2022GPT Takes the Bar Examcited by 65
  3. 2023Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Modelscited by 61
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