mlsanityData to 14 Oct 2026

Definitions of intent suitable for algorithms

arXiv 2106.04235 ↗First posted 8 Jun 2021cs.AIcited by 8

Not on the map. Why?

Abstract (arXiv)

Intent modifies an actor's culpability of many types wrongdoing. Autonomous Algorithmic Agents have the capability of causing harm, and whilst their current lack of legal personhood precludes them from committing crimes, it is useful for a number of parties to understand under what type of intentional mode an algorithm might transgress. From the perspective of the creator or owner they would like ensure that their algorithms never intend to cause harm by doing things that would otherwise be labelled criminal if committed by a legal person. Prosecutors might have an interest in understanding whether the actions of an algorithm were internally intended according to a transparent definition of the concept. The presence or absence of intention in the algorithmic agent might inform the court as to the complicity of its owner. This article introduces definitions for direct, oblique (or indirect) and ulterior intent which can be used to test for intent in an algorithmic actor.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 6 of its 122 references that are in the map. First posted on arXiv 8 Jun 2021.

Builds on

6 of 122 references.

References · 6

  1. 2016Concrete Problems in AI Safetycited by 1,642
  2. 2017Generative Adversarial Networks: An Overviewcited by 590
  3. 2018The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communitiescited by 78
  4. 2018Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibilitycited by 32
  5. 2018Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behaviorcited by 30
  6. 2021Extending counterfactual accounts of intent to include oblique intentcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 3; 2025: 0; 2026: 1.

8 papers.