Asilomar AI Principles Category Lookup
List the named Asilomar AI Principles in their published category: research issues, ethics and values, or longer-term issues.
Description
The Asilomar AI Principles group named principles into research issues, ethics and values, and longer-term issues.
The Asilomar AI Principles group named principles into research issues, ethics and values, and longer-term issues. This lookup lists names in a selected category rather than evaluating a system against them.1, 2
The returned values include Principle category, Principles in category, Principle names. The How section below explains the calculation, input rules and interpretation.
When to use Asilomar AI Principles Category Lookup
Use Asilomar AI Principles Category Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. This is a concise teaching reference. Verify original publications, context and applicable editions before relying on it; it is not a complete framework or an authoritative evaluation.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Asilomar AI Principles Category Lookup and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter category using the field table and calculation rules, then run the tool.
- Read category, principleCount, principleNames. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| category | Principle category | string; one of "ethicsAndValues", "longerTermIssues", "researchIssues" | Required |
Choose the exact enum value or supported integer in the input table and run the lookup. The tool indexes its embedded table, returns the fields shown below and copies list fields where applicable. All supported selections and their actual returned entries are included below. It performs no network request, project measurement or forecast inference.
| Selection | Returned reference entry |
|---|---|
| ethicsAndValues | category: ethicsAndValues; principleCount: 13; principleNames: ["Safety","Failure Transparency","Judicial Transparency","Responsibility","Value Alignment","Human Values","Personal Privacy","Liberty and Privacy","Shared Benefit","Shared Prosperity","Human Control","Non-subversion","AI Arms Race"] |
| longerTermIssues | category: longerTermIssues; principleCount: 5; principleNames: ["Capability Caution","Importance","Risks","Recursive Self-Improvement","Common Good"] |
| researchIssues | category: researchIssues; principleCount: 5; principleNames: ["Research Goal","Research Funding","Science-Policy Link","Research Culture","Race Avoidance"] |
exact selection → fixed embedded reference entry Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| category | Principle category | string |
| principleCount | Principles in category | integer; minimum: 1 |
| principleNames | Principle names | list of string |
{
"input": {
"category": "researchIssues"
},
"output": {
"category": "researchIssues",
"principleCount": 5,
"principleNames": [
"Research Goal",
"Research Funding",
"Science-Policy Link",
"Research Culture",
"Race Avoidance"
]
}
}Limitations and assumptions
This is a concise teaching reference. Verify original publications, context and applicable editions before relying on it; it is not a complete framework or an authoritative evaluation.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Extremely large text inputs are rejected. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Anticipatory Governance Feedback Loop Lookup: Anticipatory governance links sensing, analysis, deliberation, action and review. Each stage needs an action, artifact and responsible role to connect future signals with decisions. For a complementary task, use Morphological Freedom Body Modification Principle Lookup: Morphological freedom concerns choices about bodily change. Autonomy, informed consent, reversibility and access provide separate questions for examining those choices.
Further background: Asilomar AI Principles.
References
-
Asilomar AI Principles Category Lookup — tool.io
-
Asilomar AI Principles — Future of Life Institute
Similar or alternative tools
- Anticipatory Governance Feedback Loop Lookup
Anticipatory governance links sensing, analysis, deliberation, action and review. Each stage needs an action, artifact and responsible role to connect future signals with decisions.
- Morphological Freedom Body Modification Principle Lookup
Morphological freedom concerns choices about bodily change. Autonomy, informed consent, reversibility and access provide separate questions for examining those choices.