Describe the reasons for an ethical analysis applied to AI.

Identify the ethical and social impacts and implications of AI.

Use critical skills in clarifying and ethically analyzing AI in different domains of life.

Critically analyze the current policies for AI and use ethical and socially responsible principles in your professional life.

Recognize that the use of AI requires to be analysed, evaluated and addressed also from a legal point of view.

Indicate the main legal concepts of liability for choices made by or through intelligent systems and compensation for any consequential damage.

Verify whether and which criminal law principles apply when an offence is committed by an AI system.

Recognize the difference between copyright and patent and recognize the risks to fundamental rights and freedoms deriving from AI.

Describe the technological scenario of AI (Cloud, Edge, IoT) from an IT perspective.

Identify the Machine and Deep Learning techniques and solutions developed for IoT and Edge Computing systems.

Explain the main challenges and opportunities of technologies and platforms for AI.

Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning

Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques

Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning