Ethical AI by design

Context

Objectives to be achieved in the ethical development of AI

1| Proper access to data, and secure data management

1.1| Privacy by design

1.2| Specific actions towards privacy risk mitigations

2| Fairness

2.1| Data quality, data representativeness and accuracy

2.2| Social Biases

2.3| Specific actions towards bias risk mitigation

3| Algorithmic transparency

3.1| AI interpretability vs AI explainability

3.2| Specific actions towards lack of interpretability risk mitigation

4| Human Control and accountability

4.1| Different levels of automation

4.2| Feedback loops and adaptive algorithms: control of self-adapting systems

4.3| Specific actions towards automantion risk mitigation

Conclusions

Governance of ethical issues

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Juan Murillo Arias

MSc Civil Engineer by UPM, Executive MBA by EOI. Experience as urban planner and project manager in technological innovation and smart cities initiatives.