CACrown ArchivesThe cinema collection
Menu
Research dossier · Science & Nature

Ethics of artificial intelligence

ethics of technology specific to robots and other artificially intelligent beings

Specimen drawers, botanical folios and brass scientific instruments under study light
Science and natureInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 13, 2026
Entity authorityQ12727779
Source-derived summary

The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes. This includes algorithmic biases, fairness, accountability, transparency, privacy, and regulation, particularly where systems influence or automate human decision-making. It also covers various emerging or potential future challenges such as machine ethics (how to make machines that behave ethically), lethal autonomous weapon systems, arms race dynamics, AI safety and alignment, technological unemployment, AI-enabled misinformation, how to treat certain AI systems if they have a moral status (AI welfare and rights), artificial superintelligence and existential risks.

Some application areas may also have particularly important ethical implications, like healthcare, education, criminal justice, or the military.

Machine ethics

Machine ethics (or machine morality) is the field of research concerned with designing Artificial Moral Agents (AMAs), robots or artificially intelligent computers that behave morally or as though moral. To account for the nature of these agents, it has been suggested to consider certain philosophical ideas, like the standard characterizations of agency, rational agency, moral agency, and artificial agency, which are related to the concept of AMAs.

There are discussions on creating tests to see if an AI is capable of making ethical decisions. Alan Winfield concludes that the Turing test is flawed and the requirement for an AI to pass the test is too low. A proposed alternative test is one called the Ethical Turing Test, which would improve on the current test by having multiple judges decide if the AI's decision is ethical or unethical. Neuromorphic AI could be one way to create morally capable robots, as it aims to process information similarly to humans, nonlinearly and with millions of interconnected artificial neurons.

Editorial summary

The public source identifies “Ethics of artificial intelligence” as ethics of technology specific to robots and other artificially intelligent beings. This brief keeps that definition visible, then builds a research path around Ethics, artificial and intelligence.

Editorial reviewA sound reference starting point where classification, measurement and the date of the underlying evidence remain visible. The current 280-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. Its value is orientation rather than verdict, with Ethics, artificial and intelligence providing the first useful test.
Editorial analysis

Why this record matters

A short description can identify a subject without explaining its stakes. For “Ethics of artificial intelligence”, the useful work is to connect “ethics of technology specific to robots and other artificially intelligent beings” to the records capable of establishing context and consequence.

Evidence profile

The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Sep 13, 2026. The linked authority identifier is Q12727779. None of the 0 selected statements returned an explicit reference.

Critical limits

A general summary may omit uncertainty, sample limits or methodological disagreement that is explicit in the technical record. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

Best used for
  • Current terminology
  • Classification context
  • Finding cited technical literature
Verify next

Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

Three-step research path

  1. Establish the record: confirm the title “Ethics of artificial intelligence”, its source revision and the description used here.
  2. Expand the search: follow Ethics of artificial intelligence primary sources, Ethics of artificial intelligence archive and Ethics research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Ethics of artificial intelligence”?
  2. Has classification or technical consensus changed since the cited source?
  3. Which observation, specimen, dataset or publication supports the account?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Ethics of artificial intelligence” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.