This course, created by Politecnico di Milano and taught by Professor Viola Schiaffonati, is designed to address the pressing ethical challenges in AI development. It explores topics such as fairness, accountability, privacy, and governance in AI systems. Learners will engage with moral theories and ethical guidelines that help shape responsible AI practices and policies. This course is ideal for professionals and policymakers who are directly involved in the AI sector and its ethical governance.
Course Highlights
| Course Name | Ethics of Artificial Intelligence |
|---|---|
| Duration | Approximately 7 hours |
| Provider | Coursera (Politecnico di Milano) |
| Mode of Learning | Self-paced online |
| Course Fee | Free (with paid certificate) |
| Trainer | Viola Schiaffonati |
| Students Enrolled | 11,595 |
| Skill Gained | AI ethics, governance, AI policies, moral theories |
| Total Review | 4.8/5 (from 124 reviews) |
Why to Choose Ethics of Artificial Intelligence - Coursera
- Taught by a renowned university, Politecnico di Milano
- Covers real-world examples and case studies to enhance practical understanding
- Flexible learning with self-paced modules
- No prerequisites required, suitable for beginners in AI ethics
- Free access to course materials, with an option for certification
2. Artificial Intelligence Ethics in Action - Coursera
LearnQuest presents this course to help learners understand and apply ethical principles to AI technologies. Instructed by AI and ethics experts, it covers critical topics such as bias in AI, transparency, and accountability. Through real-world case studies and analysis, students will gain practical insights into creating ethical AI systems and addressing the challenges of fairness and inclusivity. The course also helps learners develop frameworks for understanding the societal impacts of AI systems.
Course Highlights
| Course Name | Artificial Intelligence Ethics in Action |
|---|---|
| Duration | Approximately 12 hours |
| Provider | Coursera (LearnQuest) |
| Mode of Learning | Self-paced online |
| Course Fee | Free (with paid certificate) |
| Trainer | LearnQuest |
| Students Enrolled | N/A |
| Skill Gained | Ethical AI development, bias mitigation, transparency |
| Total Review | 4.7/5 |
Why to ChooseArtificial Intelligence Ethics in Action Course
- Focuses on practical applications of AI ethics
- Includes case studies that connect theoretical principles to real-world scenarios
- Flexible, self-paced learning option
- Offered by LearnQuest, a well-respected name in technology education
3. UCSC - AI, Empathy & Ethics
This course, offered by UCSC Extension, aims to examine the interplay between AI technologies, empathy, and ethical considerations. Focusing on how empathy can be embedded in AI systems, it covers topics like human-centered design and inclusive AI development. This course offers valuable insights for tech professionals, policymakers, and social scientists seeking to incorporate ethical standards into AI development while ensuring that AI systems are designed with empathy for human experiences.
Course Highlights
| Course Name | AI, Empathy & Ethics |
|---|---|
| Duration | N/A |
| Provider | UCSC Extension |
| Mode of Learning | Online |
| Course Fee | $995 |
| Trainer | N/A |
| Students Enrolled | N/A |
| Skill Gained | AI ethics, empathy integration, decision-making frameworks |
| Total Review | N/A |
Why to Choose UCSC-AI, EMpathy and Ethics Course
- Focuses on empathy as a critical factor in AI system development
- Suitable for professionals seeking a unique angle on AI ethics
- Offered by UCSC Extension, a well-regarded institution
- Provides insights into the emotional and ethical dimensions of AI
4. AI Ethics, Law, and Policy - FutureLearn
This course is designed for professionals interested in the governance and legal implications of AI. It addresses how ethical frameworks and laws intersect with AI technologies. Learners will explore topics like privacy, transparency, and legal policies essential for regulating AI. This course is particularly beneficial for policymakers, legal professionals, and technologists who seek to understand the regulations and ethical boundaries that govern AI technologies in today's world.
Course Highlights
| Course Name | AI Ethics, Law, and Policy |
|---|---|
| Duration | 4 weeks (3 hours per week) |
| Provider | FutureLearn |
| Mode of Learning | Online |
| Course Fee | Free (with optional paid certificate) |
| Trainer | N/A |
| Students Enrolled | N/A |
| Skill Gained | Legal aspects of AI, ethical AI frameworks, policy development |
| Total Review | 4.6/5 |
Why to Choose AI Ethics, Law, and Policy Course from FutureLearn
- Covers both ethical and legal dimensions of AI
- Suitable for policy-makers and professionals involved in AI governance
- Flexible learning with a focus on policy development
- Free course with the option to obtain a paid certificate
5. Ethics in AI and Big Data - eDX
The Linux Foundation offers this course through edX to tackle the ethical challenges posed by AI and Big Data. It focuses on the collection, analysis, and ethical use of large datasets within AI systems. Topics such as data privacy, transparency, and accountability are central to the course content. Designed for professionals working in data science, AI, and related fields, this course equips learners with the knowledge to build ethically responsible AI and data systems.
Course Highlights
| Course Name | Ethics in AI and Big Data |
|---|---|
| Duration | 8 weeks (2-3 hours per week) |
| Provider | edX (Linux Foundation) |
| Mode of Learning | Online |
| Course Fee | Free (with paid certificate) |
| Trainer | N/A |
| Students Enrolled | N/A |
| Skill Gained | Ethical AI, data privacy, ethical data handling |
| Total Review | 4.5/5 |
Why to Choose Ethics in AI and BigData Course by eDX
- Focuses on big data and AI, addressing emerging data ethics challenges
- Provided by the Linux Foundation, a leader in open-source education
- Free to enroll with an option for certification
- Suitable for professionals dealing with AI and data privacy issues
6. Responsible AI: Principles and Ethical Considerations - Coursera
This course from Coursera addresses the principles of responsible AI development. It delves into key topics such as fairness, transparency, and accountability, exploring how these principles can be integrated into AI systems. This course is ideal for those involved in AI development, policy-making, and governance, providing a strong foundation for understanding and addressing ethical challenges in the creation of AI solutions.
Course Highlights
| Course Name | Responsible AI: Principles and Ethical Considerations |
|---|---|
| Duration | 10 hours |
| Provider | Coursera |
| Mode of Learning | Self-paced online |
| Course Fee | Free (with paid certificate) |
| Trainer | N/A |
| Students Enrolled | N/A |
| Skill Gained | Responsible AI, fairness in AI, ethical considerations |
| Total Review | 4.7/5 |
Why to Choose Responsible AI: Principles and Ethical Consideration Course from Coursera
- Focus on fairness, accountability, and transparency
- Practical insights into responsible AI development
- Self-paced learning is ideal for working professionals
- Free enrollment option with paid certification
