Skip to content
AIOLIA
What we do
Project overview
Industrial use cases
Findings about ethics principles
Conclusions about ethics principles
Findings from international use cases
Open AI governance issues
Open governance issues for General-Purpose AI
Open governance issues for Emotional AI
Open governance issues for Decision-Support AI systems
Policy Briefs
Policy brief “Ethical challenges of AI companions”
Policy brief “AI Ethics from Principles to Practice”
Who we are
AIOLIA consortium
Stakeholder Advisory Board
Resources
Training materials: theory
Training materials: practice
AI ethics issues identification checklist
Portfolio of Measures
Mock review exercise: AI-assisted radiology workflow
Mock review exercise: AI for Organisational Email Security
Mock review exercise: Virtual Companion in a Family Home
Ethics-by-design exercise: RoboCab 1-2
Ethics-by-design exercise: Robocab 3-4
Ethics-by-design exercise: Emotional AI design
Organisational measures for operationalising AI ethics principles
Criteria to measure successful implementation
Human oversight
Autonomy / User agency
Freedom of expression and Non-censorship
Over-reliance and Deskilling
Robustness / reliability
Safety / human safety
Non-maleficence
Privacy, Consent and Data Protection
Transparency and Explainability
Non-bias, fairness and non-discrimination
Human well-being
Accountability and Responsibility
AIOLIA deliverables
News
AIOLIA
Navigation Menu
Navigation Menu
What we do
Project overview
Industrial use cases
Findings about ethics principles
Conclusions about ethics principles
Findings from international use cases
Open AI governance issues
Open governance issues for General-Purpose AI
Open governance issues for Emotional AI
Open governance issues for Decision-Support AI systems
Policy Briefs
Policy brief “Ethical challenges of AI companions”
Policy brief “AI Ethics from Principles to Practice”
Who we are
AIOLIA consortium
Stakeholder Advisory Board
Resources
Training materials: theory
Training materials: practice
AI ethics issues identification checklist
Portfolio of Measures
Mock review exercise: AI-assisted radiology workflow
Mock review exercise: AI for Organisational Email Security
Mock review exercise: Virtual Companion in a Family Home
Ethics-by-design exercise: RoboCab 1-2
Ethics-by-design exercise: Robocab 3-4
Ethics-by-design exercise: Emotional AI design
Organisational measures for operationalising AI ethics principles
Criteria to measure successful implementation
Human oversight
Autonomy / User agency
Freedom of expression and Non-censorship
Over-reliance and Deskilling
Robustness / reliability
Safety / human safety
Non-maleficence
Privacy, Consent and Data Protection
Transparency and Explainability
Non-bias, fairness and non-discrimination
Human well-being
Accountability and Responsibility
AIOLIA deliverables
News
Training materials: theory
Coming soon…
