When artificial intelligence influences decisions that affect people, ethics becomes a fundamental requirement. This microcredential equips you to detect risks, use evaluation frameworks, and structure AI initiatives that meet standards of fairness, transparency and responsibility in line with European principles and legal obligations.
You will work on how to embed equity and accountability in every phase of a technological project, applying real cases and operational methods. A rigorous programme for professionals who aim to develop technology that generates real value and earns public trust.
Training aimed at professionals who wish to integrate ethical criteria into the implementation of artificial intelligence solutions. It is addressed to diverse profiles from the technological, scientific, industrial, healthcare, commercial, financial, creative, and managerial fields.
You will learn how to identify ethical risks in AI projects, apply practical assessment methods, and integrate transparency, fairness and accountability into real decision-making. You’ll also learn to analyse real cases to detect biases and dilemmas, and to design AI solutions that are responsible, safe and professionally robust.
Learning goals
– Analyse key ethical frameworks and theories to understand how they apply to the development and use of artificial intelligence.
– Apply ethical assessment methods and tools to identify risks, social impacts, and legal implications in technological projects.
– Integrate principles of transparency, accountability, and fairness into the planning and management of AI projects, promoting good practices in responsible design.
– Critically evaluate real-world AI cases to identify biases, ethical dilemmas, and best practices, developing a professional perspective oriented toward responsible innovation.
Training Content
PhD in Telecommunications Engineering from ETSETB-UPC. She is a member of the EduSTEAM research group on engineering and science education, and author of publications in areas as diverse as sustainability and sustainable human development applied to ICT, as well as in analog and radiofrequency electronics. She is the founder of the NGO AUCOOP.
Learning methodology
The teaching methodology of the programme facilitates the student’s learning and the achievement of the necessary competences.
The microcredential is delivered in an asynchronous online format through a virtual learning environment that combines interactive content, authentic materials, and applied activities. Learning is based on real cases and practical scenarios, enabling participants to connect ethical concepts with professional decision-making.
The teaching team provides ongoing support and personalized
Training content
Unit 1. Foundations of Ethics in AI
Ethical principles and frameworks applied to technology and automated decision-making.
Unit 2. Ethical Evaluation of Projects
Tools and methodologies to identify risks, social impacts, and legal implications.
Unit 3. Algorithmic Fairness and Responsible Design
Concept of fairness, bias detection, and best practices in AI system development.
Certificate/badge details
<p>Microcredential. Europass digital credential in Ethics and Fairness in AI Projects issued by the Universitat Politècnica de Catalunya.</p>
