The Artificial Intelligence (AI) has become deeply embedded in our society, transforming everything from the economy up to the healthcare. However, his rapid progress has generated a crucial debate on its ethical implications and the the need for effective regulation. This The course addresses the demand for professionals who understand not only the potential of AI, but also its associated risks, such as the algorithmic discrimination, the data privacy or the legal liability.
The Course on Ethics and Regulation of AI provides the the tools needed to navigate this complex landscape, teaching to identify ethical dilemmas in the design and deployment of AI systems and to to propose solutions for a fairer and more equitable digital future.
Cross-cutting
AI Academy
40 hours
Ethics and Regulation of AI
AI Academy
40 hours
Introduction
Objectives
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Understanding ethical principles in the development of AI.
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To analyse national and international regulatory frameworks.
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Identifying algorithmic risks and biases.
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Assessing the social and economic impact of AI.
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To propose guidelines for responsible AI.
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Discussing legal liability in autonomous systems.
Table of Contents
TEACHING UNIT 1. AN INTRODUCTION TO THE ETHICS AND PHILOSOPHY OF AI
Historical context and the evolution of AI from the past to the present
Fundamental ethical principles of AI
Ethical dilemmas in the design and implementation of AI systems
The social, economic and cultural impact of AI
Fundamentals of the philosophy of AI and its implications
TEACHING UNIT 2. ALGORITHMIC BIAS AND DISCRIMINATION
Sources of bias in data and AI algorithms
Types of bias identified in AI
Fairness and equity metrics for AI models
Advanced techniques for detecting and mitigating bias
Analysis of case studies on algorithmic discrimination
Frameworks for assessing algorithmic impartiality
TEACHING UNIT 3. PRIVACY, DATA PROTECTION AND GOVERNANCE IN AI SYSTEMS
Key data protection regulations
Privacy challenges throughout the AI data lifecycle
Techniques for safeguarding privacy using cryptography and computing
Implementation of the principles of privacy by design and by default
Data governance and compliance strategies in AI development
Challenges in data anonymisation and de-identification in AI
TEACHING UNIT 4. RESPONSIBILITY AND ACCOUNTABILITY IN AI DECISION-MAKING
Explainability (XAI) and algorithmic transparency
Models for assigning responsibility in autonomous systems
Algorithmic auditing and tools for independent assessment
Impact assessment of AI as a preventive tool
Implications of civil and criminal liability arising from AI
TEACHING UNIT 5. THE INTERNATIONAL REGULATORY FRAMEWORK FOR AI: PERSPECTIVES AND TRENDS
Initiatives and recommendations from global organisations on AI
A comparison of regulatory approaches in different jurisdictions
Development of technical standards and certifications for trustworthy AI
The role of public-private partnership in AI governance
TEACHING UNIT 6. THE APPLICATION OF ETHICS AND THE REGULATION OF AI IN KEY SECTORS
Ethical and regulatory implications of AI in healthcare
Challenges facing AI in the financial and banking sector
AI ethics in criminal justice and security systems
Considerations regarding AI in the labour market and education
Applications of ethical principles in the development of autonomous vehicles
TEACHING UNIT 7. RESPONSIBLE AI IN PRACTICE: TOOLS AND GOVERNANCE POLICIES (GOOGLE AI PRINCIPLES)
Practical implementation of responsible AI frameworks in organisations
Open-source tools and libraries for ethical AI
The Google AI Principles
Design of multidisciplinary teams and internal codes of conduct for AI
Strategies for communicating about AI and building public trust
TEACHING UNIT 8. ADVANCED GOVERNANCE AND FUTURE DILEMMAS OF AI
Advanced governance and future dilemmas in AI
Ethical implications of AI for environmental sustainability and resource consumption
Emerging models of AI governance (public algorithms, mandatory external audits)
The future of human rights in the age of AI
Cybersecurity in AI and the protection of critical infrastructure
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