Big picture testing

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 documents using the search box on top,
  • compare documents using the compare function,
  • open this box by clicking on the button on the upper left corner.

The Map works best on Chrome desktop.

The Box is meant to help you visualize the ethical strengths and weaknesses of a technology. Once the weaknesses are identified, solutions can be designed!

Start your evaluation of a technology by checking how strongly it protects and promotes ethical values.

  • Click on the core principles (autonomy, harm-benefit, justice) to unfold the related instrumental principles.
  • Use the slider to rate the technology’s adherence to these principles.
  • If an instrumental principle is not applicable, disable the slider using the N/A button.

For detailed information with a use-case, click How to use?

Map ViewList View

Number of

Compare AI principles

AI Principles by


  • Power to decide (whether to decide)
  • Human control
  • Human oversight
  • Transparency (to understand)
  • Openness (to understand)
  • Explainability
  • Explicability
  • Liberty
  • Freedom
  • Fundamental rights
  • Personal privacy
  • Privacy protection
  • Fundamental rights
  • Human values

No Harm

  • Control risks
  • Safety
  • Security
  • Capability caution
  • Data protection
  • Privacy (to avoid harm)
  • Explicability
  • Transparency (to avoid harm)
  • Reproducibility
  • Accuracy
  • Reliability
  • Responsible deployment
  • Prevent arms race


  • Promoting well-being
  • Benefit society
  • Generating net benefits
  • Sustaining the planet
  • Impact
  • Efficacy
  • Explicability
  • Scientific excellence
  • User-centered design (for user benefit)
  • People-first approach


  • Fairness
  • Fundamental rights
  • Equality
  • Non-discrimination
  • Avoiding bias
  • Inclusivity
  • Diversity
  • Data neutrality
  • Representative data
  • Shared benefit / prosperity
  • Social & economic impacts
  • Avoid disparity
  • Mitigating social dislocation
  • Preserving solidarity
  • Accessibility
  • Explicability
  • Transparency (for accountability)
  • Openness (for accountability)
  • Accountability
  • Auditability
  • Liability
  • Inclusive
  • Judicial transparency
  • Open governance
  • Regulatory & legal compliance

Read Our Guide


20 minute read

A Guide to the Dynamics of AI Principles

Read more about the structure behind AI principles and how to put them in practice for ethical decision-making.

View The Report

    None Low Medium High How to use?
Autonomy Human control / oversight
Harm-Benefit Accuracy / Reliability
Justice Distribution of burden & benefit

Watch Our Video

Meet the Project Team


K.Yasemin Usta

M.Sc. in Computer Science & DSS

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


Dima Al-Qutub

M.A. in Human Rights & Development

Data collection and project development


Oğuz Kartöz


Data collection and project development


Minseok Jung

B.A. in Philosophy

Data collection


Cansu Canca

Ph.D., Director at AI Ethics Lab

Project lead, conceptualization, and analysis

Cite Our Work

AI Ethics Lab,Toolbox: Dynamics of AI Principles, February 2020,
AI Ethics Lab,”Tool: The Box”, Toolbox: Dynamics of AI Principles, June 2020,
Canca,“Operationalizing AI Ethics Principles”,Communications of the ACM, Volume 63, Number 12, 2020