FAIR(e)-AI

Welcome to the
AI ethics assessment tool

This tool is specifically designed to help navigate and mitigate ethical risks associated with the use of artificial intelligence.

Use of AI

The intensity of AI use in a design project varies from minimal to extensive and can have an impact on ethical risk. At a low intensity, AI supports basic tasks, while moderate intensity sees AI activity influencing design decisions. At high intensity, AI deeply integrates into the process.

Ethical Risk

Assessing ethical risk is essential to ensure that AI systems are developed and deployed responsibly. By proactively assessing ethical risks, organisations can align with these legal requirements, fostering trust and accountability in their AI-powered solutions.

It will guide you through a series of questions to identify potential ethical concerns and provide actionable steps to minimise these risks. By evaluating the extent and nature of AI integration in your design, you will gain valuable insights into the potential consequences and ethical considerations of your work.

Exemplary evaluation

Throughout the assessment, each area of concern is paired with specific actions you can take to lower the ethical risk of your project. These actionable recommendations are designed to support you in creating responsible, ethical AI-powered artefacts.

Example assessment of use of ai & ethical risk

Use of AI

Purpose of AI IntegrationHow essential is AI to the project/product? Is it just enhancing features, supporting tasks, or central to the main function?

Level of AutonomyHow independently does the AI operate? Does it need constant human guidance, occasional help, or can it run on its own?

Complexity of AlgorithmsHow advanced is the AI technology being used? It is based on basic models or highly sophisticated systems?

Data UtilisationHow much and what kind of data does the AI use? Is it working with small, static datasets or large, dynamic streams of information?

User InteractionHow much do users need to engage with the AI? Does it work mostly in the background, interact occasionally, or require frequent input?

Adaptability & LearningHow well does the AI learn and improve over time? Does it remain static, adapt with use, or continuously evolve on its own?

Integration DepthHow deeply is the AI embedded into the product? Is it just an add-on feature or a core part of the product's architecture?

Ethical Risk

Privacy & Data GovernanceDoes the design project comply with data protection regulations and ensure user privacy?

TransparencyIs the design project's decision-making process understandable and traceable for the end user?

Societal Well-BeingWhat is the impact of the design project on societal wellbeing?

Environmental Well-BeingWhat is the impact of the design project on environmental wellbeing?

Technical Robustness & SafetyHow resilient is the design project to operational and technical errors?

Human Agency & OversightTo what extent does the design project allow for human intervention and oversight?

Diversity, Non-Discrimination & FairnessHow well does the design project address potential biases and ensure fairness?

AccountabilityHow does the design project ensure accountability for decisions made by AI systems?

Example of detailed result

This section presents a detailed overview of your results. You will see a summary of each question alongside your response, accompanied by insights on areas for improvement. Additionally, you will receive a list of targeted actions to help mitigate ethical risks.