Dynamics of AI Principles: The Big Picture


We decided to create the AI Principles Map to help understand the trends, common threads, and differences among numerous sets of principles published.
You can;

  • zoom in and out with mouse roll,
  • click on pins to read the summaries,
  • sort by date using the timeline on the right side,
  • sort by type of organization using the checkbox at the bottom,
  • search for specific document using the search box on top,
  • and compare documents using the compare function.

The Map works best on Chrome desktop.

Search

Number of
Documents:
0
1
2-4
5-8
9-16
17+

Compare AI principles



AI Principles by


Autonomy

  • Power to decide (whether to decide)
  • Human Control
  • Liberty
  • Personal Privacy
  • Privacy Protection
  • Explainability
  • Explicability
  • Fundamental Rights
  • Human values
  • Transparency (to understand)
  • Openness (to understand)

No Harm

  • Control Risks
  • Safety
  • Security
  • Data Protection
  • Capability Caution
  • Privacy (to avoid harm)
  • Explicability
  • Reproducibility
  • Accuracy
  • Failure Transparency
  • Prevent arms race
  • Responsible Deployment

Benefit

  • Do good
  • Promoting Well-being
  • Benefit Society
  • Generating Net Benefits
  • Sustaining The Planet
  • Explicability
  • User-centered Design (for user benefit)
  • Scientific Excellence
  • Impact
  • People-first Approach

Justice

  • Fairness
  • Avoiding Bias
  • Non-discrimination
  • Liability
  • Inclusive
  • Avoid Disparity
  • Accessible
  • Transparency (for accountability)
  • Mitigating Social Dislocation
  • Shared benefit / prosperity
  • Data Neutrality
  • Accountability
  • Openness (for accountability)
  • Auditability
  • Judicial Transparency
  • Preserving Solidarity
  • Explicability
  • Regulatory and Legal Compliance
  • Fundamental Rights
  • Representative Data
  • Open Governance
  • Social and Economic Impacts

Meet the Project Team

Person

Dima Al-Qutub

M.A. in Human Rights and Development

Data collection and project development

Person

Oğuz Kartöz

LL.M., CIPP/E

Data collection and project development

Person

K.Yasemin Usta

M.Sc. in Computer Science and DSS

Data collection, content visualization, web design, and project development

Person

Cansu Canca

Ph.D., Director at AI Ethics Lab

Project lead, conceptualization, and analysis




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