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Ethics of Artificial Intelligence

Viola Schiaffonati

This course deals with the problems created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions and societies. The course addresses these topics by means of case studies and examples analyzed in the light of the main ethical frameworks.

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What's inside

Syllabus

Ethics, AI and Responsibility
Case-studies, examples and ethical frameworks
Issues and challenges
Read more
Governance and policies

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines the ethical considerations and impact of AI, which is highly relevant to professionals in the field and society at large
Provides a comprehensive overview of the ethical, social, and cultural implications of AI, covering a range of issues and challenges
Taught by Viola Schiaffonati, who is recognized for their work in the field of AI ethics
Helps learners develop a critical understanding of the ethical frameworks and debates surrounding AI
Suitable for students and professionals seeking to expand their knowledge in AI ethics
Requires learners to come in with some background knowledge in AI or related fields

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Career center

Learners who complete Ethics of Artificial Intelligence will develop knowledge and skills that may be useful to these careers:
AI Engineer
Artificial Intelligence (AI) Engineers are data scientists who happen to specialize in machine learning, deep learning, or natural language processing. Their work in developing and implementing AI solutions that can automate tasks, improve efficiency, and make better predictions is currently in high demand by employers. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano provides an ethical foundation for AI Engineers' work, helping them consider the societal and human impact of AI systems. It is especially helpful for those working in fields such as healthcare, finance, or transportation, where ethical considerations are critical.
AI Researcher
AI Researchers are scientists who are pushing the boundaries of what is possible with AI. They develop new algorithms and techniques for machine learning, deep learning, and natural language processing. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Researchers think through the ethical implications of their work, ensuring that the AI systems they develop are used for good and not for evil.
Natural Language Processing Engineer
Natural Language Processing Engineers are responsible for developing and deploying natural language processing models. These models can be used for a variety of tasks, such as machine translation, text summarization, and sentiment analysis. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help Natural Language Processing Engineers understand the ethical implications of their work, ensuring that the models they develop are fair, unbiased, and used for good.
AI Consultant
AI Consultants are responsible for advising businesses on how to use AI to improve their operations. They work with clients to identify AI solutions that can help them automate tasks, improve efficiency, and make better decisions. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Consultants understand the ethical issues surrounding AI, and advise their clients on how to use AI responsibly and ethically.
AI Ethicist
AI Ethicists are responsible for developing and promoting ethical guidelines for the development and use of AI. They work with researchers, engineers, policymakers, and other stakeholders to ensure that AI is used for good and not for evil. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Ethicists develop a deep understanding of the ethical issues surrounding AI, and develop ethical guidelines that promote the responsible development and use of AI.
AI Educator
AI Educators are responsible for teaching students about AI. They work with students at all levels, from K-12 to university. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Educators understand the ethical issues surrounding AI, and develop curricula that teach students how to use AI responsibly and ethically.
AI Entrepreneur
AI Entrepreneurs are responsible for starting and running businesses that develop and use AI. They work with investors, customers, and other stakeholders to bring their AI products and services to market. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Entrepreneurs understand the ethical issues surrounding AI, and develop businesses that are socially responsible and sustainable.
AI Journalist
AI Journalists are responsible for reporting on the latest developments in AI. They work with editors, producers, and other journalists to create articles, videos, and other content that informs the public about AI. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Journalists understand the ethical issues surrounding AI, and report on AI in a way that is accurate, fair, and unbiased.
AI Lawyer
AI Lawyers are responsible for advising clients on the legal implications of AI. They work with clients to develop AI policies, contracts, and other legal documents. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Lawyers understand the ethical issues surrounding AI, and advise their clients on how to use AI in a way that is compliant with the law.
AI Policymaker
AI Policymakers are responsible for developing and implementing policies that govern the development and use of AI. They work with governments, businesses, and other stakeholders to ensure that AI is used for good and not for evil. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Policymakers understand the ethical issues surrounding AI, and develop policies that promote the responsible development and use of AI.
AI Risk Manager
AI Risk Managers are responsible for identifying and mitigating risks associated with AI systems. They work with businesses and other organizations to develop risk management strategies that protect against the potential harms of AI systems. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Risk Managers develop a deep understanding of the ethical issues surrounding AI, and develop risk management strategies that promote the responsible development and use of AI.
AI Auditor
AI Auditors are responsible for auditing AI systems to ensure that they are fair, unbiased, and used for good. They work with businesses and other organizations to identify and mitigate risks associated with AI systems. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Auditors develop a deep understanding of the ethical issues surrounding AI, and develop audit procedures that ensure that AI systems are used responsibly and ethically.
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to uncover patterns and trends. They use their findings to build machine learning models that can make predictions and solve problems. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help Data Scientists understand the ethical implications of their work, ensuring that the models they build are fair, unbiased, and used for good.
AI Compliance Officer
AI Compliance Officers are responsible for ensuring that AI systems comply with applicable laws and regulations. They work with businesses and other organizations to develop compliance programs that ensure that AI systems are used in a way that is compliant with the law. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help AI Compliance Officers develop a deep understanding of the ethical issues surrounding AI, and develop compliance programs that promote the responsible development and use of AI.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They work closely with Data Scientists to ensure that the models are accurate, efficient, and scalable. The course in Ethics of Artificial Intelligence offered by Politecnico di Milano can help Machine Learning Engineers understand the ethical implications of their work, ensuring that the models they develop are used for good and not for evil.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Ethics of Artificial Intelligence.
Provides a comprehensive overview of the field of artificial intelligence. It covers a wide range of topics, including the history of AI, the different types of AI, and the potential benefits and risks of AI.
Explores the potential future of AI and argues that we need to be prepared for the possibility of superintelligent AI.
Provides a comprehensive overview of the field of machine learning. It covers a wide range of topics, including the different types of machine learning algorithms, the challenges of machine learning, and the potential applications of machine learning.
Provides a comprehensive overview of the field of deep learning. It covers a wide range of topics, including the different types of deep learning algorithms, the challenges of deep learning, and the potential applications of deep learning.
Provides a comprehensive overview of the field of reinforcement learning. It covers a wide range of topics, including the different types of reinforcement learning algorithms, the challenges of reinforcement learning, and the potential applications of reinforcement learning.
Provides a comprehensive overview of the field of machine learning from a probabilistic perspective. It covers a wide range of topics, including the different types of machine learning algorithms, the challenges of machine learning, and the potential applications of machine learning.
Provides a comprehensive overview of the field of Bayesian reasoning and machine learning. It covers a wide range of topics, including the different types of Bayesian reasoning algorithms, the challenges of Bayesian reasoning, and the potential applications of Bayesian reasoning.

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