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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ahmm63/ethics
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What's inside
Syllabus
Ethics, AI and Responsibility
Case-studies, examples and ethical frameworks
Issues and challenges
Read more
Syllabus
Ethics, AI and Responsibility
Case-studies, examples and ethical frameworks
Issues and challenges
Read more
Governance and policies
Good to know
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
Save this course
Save Ethics of Artificial Intelligence to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Ethics of Artificial Intelligence with these
activities:
Review Aristotle's Nicomachean Ethics
Show steps
Review the core concepts of Aristotle's Nicomachean Ethics, which provides a foundation for understanding the ethical and social issues addressed in this course.
Browse courses on
Moral Reasoning
Show steps
-
Read book I and book X of Nicomachean Ethics
-
Summarize the main arguments and concepts in your own words
-
Identify the key ethical terms and their definitions
Explore ethical frameworks in AI
Show steps
Refer to online tutorials and resources to enhance understanding of different ethical frameworks and their application to AI.
Browse courses on
Ethical Principles
Show steps
-
Identify and review online tutorials or resources recommended by instructors or from reputable sources.
-
Follow the tutorials to gain insights into various ethical frameworks.
Read 'Ethics of Artificial Intelligence' by S. Wallach and W. Allen
Show steps
Expand knowledge and understanding of the ethical dimensions of AI by reading a comprehensive book on the subject.
View
Intelligent Computing: An Introduction to...
on Amazon
Show steps
-
Obtain a copy of the book.
-
Read through the chapters and engage with the content.
-
Take notes and highlight important concepts and arguments.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Review AI case studies
Show steps
Reviewing case studies will help reinforce what you've learned about the different social, economic, and political impacts of AI.
Show steps
-
Read through the case studies provided in the course materials.
-
Identify the key ethical issues raised in each case study.
-
Analyze the arguments for and against different ethical approaches to each case study.
Complete exercises and cases
Show steps
Review and practice real-world scenarios and case studies to reinforce understanding of the ethical challenges and implications of AI.
Show steps
-
Read and analyze case studies provided in class materials.
-
Participate in online discussions or forum to discuss ethical implications of AI.
-
Complete interactive exercises or simulations to apply ethical principles to AI scenarios.
Participate in study groups
Show steps
Engage in peer discussions and collaborative study sessions to share perspectives, clarify concepts, and reinforce understanding.
Browse courses on
Collaborative Learning
Show steps
-
Form or join a study group with classmates.
-
Meet regularly to discuss course materials, case studies, and ethical dilemmas.
-
Take turns presenting and facilitating discussions.
Develop ethical guidelines
Show steps
Create a set of ethical guidelines or principles for the development and deployment of AI systems, drawing inspiration from existing frameworks and industry best practices.
Browse courses on
AI Governance
Show steps
-
Research and familiarize with ethical frameworks and industry guidelines.
-
Identify key ethical considerations and principles relevant to the domain of AI.
-
Draft a set of guidelines or principles that address the identified ethical considerations.
-
Review and refine the guidelines based on feedback from peers or experts.
Attend AI ethics workshops
Show steps
Deepen knowledge and engage with experts by attending workshops focused on AI ethics, governance, and policy.
Browse courses on
AI Governance
Show steps
-
Research and identify relevant AI ethics workshops or conferences.
-
Register and attend the workshop.
-
Actively participate in discussions, ask questions, and network with experts.
Connect with professionals in AI ethics
Show steps
Expand your professional network and gain insights from experts working in the field of AI ethics.
Browse courses on
Networking
Show steps
-
Attend industry events, conferences, or meetups related to AI ethics.
-
Introduce yourself to professionals and engage in conversations.
-
Follow up with connections on LinkedIn or other professional networking platforms.
Develop an AI ethical impact assessment
Show steps
Apply ethical principles and frameworks to assess and mitigate potential risks and impacts of AI systems.
Show steps
-
Identify the AI system or application to be assessed.
-
Conduct a comprehensive ethical impact assessment using relevant frameworks and methodologies.
-
Develop recommendations for mitigating risks and enhancing the ethical alignment of the AI system.
Review Aristotle's Nicomachean Ethics
Show steps
Review the core concepts of Aristotle's Nicomachean Ethics, which provides a foundation for understanding the ethical and social issues addressed in this course.
Browse courses on
Moral Reasoning
Show steps
Show steps
Show steps
- Read book I and book X of Nicomachean Ethics
- Summarize the main arguments and concepts in your own words
- Identify the key ethical terms and their definitions
Explore ethical frameworks in AI
Show steps
Refer to online tutorials and resources to enhance understanding of different ethical frameworks and their application to AI.
Browse courses on
Ethical Principles
Show steps
Show steps
Show steps
- Identify and review online tutorials or resources recommended by instructors or from reputable sources.
- Follow the tutorials to gain insights into various ethical frameworks.
Read 'Ethics of Artificial Intelligence' by S. Wallach and W. Allen
Show steps
Expand knowledge and understanding of the ethical dimensions of AI by reading a comprehensive book on the subject.
View
Intelligent Computing: An Introduction to...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book.
- Read through the chapters and engage with the content.
- Take notes and highlight important concepts and arguments.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Review AI case studies
Show steps
Reviewing case studies will help reinforce what you've learned about the different social, economic, and political impacts of AI.
Show steps
Show steps
Show steps
- Read through the case studies provided in the course materials.
- Identify the key ethical issues raised in each case study.
- Analyze the arguments for and against different ethical approaches to each case study.
Complete exercises and cases
Show steps
Review and practice real-world scenarios and case studies to reinforce understanding of the ethical challenges and implications of AI.
Show steps
Show steps
Show steps
- Read and analyze case studies provided in class materials.
- Participate in online discussions or forum to discuss ethical implications of AI.
- Complete interactive exercises or simulations to apply ethical principles to AI scenarios.
Participate in study groups
Show steps
Engage in peer discussions and collaborative study sessions to share perspectives, clarify concepts, and reinforce understanding.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Form or join a study group with classmates.
- Meet regularly to discuss course materials, case studies, and ethical dilemmas.
- Take turns presenting and facilitating discussions.
Develop ethical guidelines
Show steps
Create a set of ethical guidelines or principles for the development and deployment of AI systems, drawing inspiration from existing frameworks and industry best practices.
Browse courses on
AI Governance
Show steps
Show steps
Show steps
- Research and familiarize with ethical frameworks and industry guidelines.
- Identify key ethical considerations and principles relevant to the domain of AI.
- Draft a set of guidelines or principles that address the identified ethical considerations.
- Review and refine the guidelines based on feedback from peers or experts.
Attend AI ethics workshops
Show steps
Deepen knowledge and engage with experts by attending workshops focused on AI ethics, governance, and policy.
Browse courses on
AI Governance
Show steps
Show steps
Show steps
- Research and identify relevant AI ethics workshops or conferences.
- Register and attend the workshop.
- Actively participate in discussions, ask questions, and network with experts.
Connect with professionals in AI ethics
Show steps
Expand your professional network and gain insights from experts working in the field of AI ethics.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Attend industry events, conferences, or meetups related to AI ethics.
- Introduce yourself to professionals and engage in conversations.
- Follow up with connections on LinkedIn or other professional networking platforms.
Develop an AI ethical impact assessment
Show steps
Apply ethical principles and frameworks to assess and mitigate potential risks and impacts of AI systems.
Show steps
Show steps
Show steps
- Identify the AI system or application to be assessed.
- Conduct a comprehensive ethical impact assessment using relevant frameworks and methodologies.
- Develop recommendations for mitigating risks and enhancing the ethical alignment of the AI system.
Career center
Learners who complete Ethics of Artificial Intelligence will develop knowledge and skills
that may be useful to these careers:
AI Engineer
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/ahmm63/ethics
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 risks of AI and argues that we need to develop AI systems that are safe and beneficial for humanity.
Save
Explores the potential future of AI and argues that we need to be prepared for the possibility of superintelligent AI.
Save
Explores the implications of AI for humanity and argues that we need to be prepared for a future in which AI plays a major role.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ahmm63/ethics
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Effort
4 weeks
Level
Introductory
Via
Coursera
Institution
Politecnico di Milano
Instructor
Viola Schiaffonati
Language
English
Transcripts
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Deutsch
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中文
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This course belongs to a
collection
called
Artificial Intelligence: an Overview. It's comprised of five courses:
- Ethics of Artificial Intelligence (viewing)
- Artificial Intelligence: An Overview
- Artificial Intelligence and legal issues
- Technologies and platforms for Artificial Intelligence
- Machine Learning: an overview
Good to know
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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