This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Putting Ethics Into Action
Lesson One: Ethics
Welcome - Course Introduction (7:21)
Instructor Introductions (3:43)
1. Lesson One Introduction (2:15)
2. Why does Ethics matter? (5:24)
2.1 Ethics as a Risk Mitigator (2:39)
2.2 Ethics as a Competitive Edge (4:53)
3. Understanding Ethical Frameworks (3:15)
3.1 Virtue Ethics (4:22)
3.2 Duty Ethics (3:22)
3.3 Consequential Ethics (4:20)
4. Ethical Framework Thought Experiment (2:49)
4.1 Quiz
5. Technical Thought Experiment (1:41)
5.1 Quiz
6. Closing Remarks (4:19)
7. Assignment
8. Further Reading
Lesson Two: Fairness and Bias
1. Lesson Two Introduction (3:41)
2. What "Eliminating Bias" Really Means (6:29)
3. Why Does Eliminating Negative Bias Matter: Principle of Discriminatory Non-Harm (3:04)
4. Identifying Bias and its Harms (5:22)
4.1 Allocation versus Representation Harm (4:49)
4.2 The Five Types of Harm (11:05)
5. Quiz - Identifying Harm
6. The Importance of Fairness (2:08)
6.1 Measuring Fairness; Technical (7:44)
6.2 Measuring Fairness; Non-technical (3:26)
7. Best Practices for Implementing Fairness (5:54)
8. Quiz - Identifying Best Practices
9. Closing remarks (2:27)
10. Assignment
11. Further Reading
Lesson Three: Privacy in the age of Big Data
1. Lesson Three Introduction (1:43)
2. Data as a Commodity (4:28)
3. Redefining Privacy in the Era of Tech (4:17)
4. GDPR and the Attempt to Regain Privacy (5:06)
5. Data Lifecycle: Pinpointing Privacy Risks (6:33)
6. Quiz
7. The "Sunlight Test" (3:15)
8. Closing remarks (2:12)
9. Assignment
10. Further Reading
Lesson Four: Accountability and Sustainability
1. Lesson Four Introduction (1:22)
2. Moral Responsibility: The Origin of Accountability (4:29)
3. The Accountability Gap (6:59)
4. Mind the Gap: Consequences of a Lack of Accountability (3:16)
5. Closing the Gap (1:22)
5.1 Anticipatory vs Remedial Accountability (3:27)
5.2 Internal vs External Auditing (3:36)
6. Quiz
7. Why Accountability and Sustainability Go Hand in Hand (2:24)
8. Sustainability and AI: Environmental Impact (1:49)
9. Stakeholder Impact Assessment (3:14)
10. Closing Remarks (1:14)
11. Assignment
12. Further Reading
Lesson Five: Trust and Transparency
1. Lesson Five Introduction (1:29)
2. In Tech We Trust (1:52)
2.1 What it Means to Trust (1:46)
2.2 Trusting an AI System (1:54)
3. How Transparency Helps Secure Trust (1:53)
3.1 Outcome Transparency (1:57)
3.2 Process Transparency (2:55)
4. Quiz
5. The Origin of the Black Box (3:55)
6. Explainability and AI Safety (2:59)
7. Looking into the Black Box: Technical (6:09)
8. Looking into the Black Box: Non-technical (3:06)
9. Closing Remarks (2:16)
10. Assignment
11. Further Reading
Lesson Six: AI Ethics Policies
1. Lesson Six Introduction (1:16)
2. International Policies on AI Ethics (2:46)
2.1. European Union: Ethics Guidelines for Trustworthy AI (4:42)
2.2. United Kingdom: The Guide to Using AI in the Public Sector (4:23)
2.3. China: Beijing AI Principles (3:19)
2.4. United States: American AI Initiative (2:34)
3. Comparing the Policies (4:33)
4. Quiz
5. Why the current policies don’t go far enough (2:11)
6. Legal vs Ethical (2:04)
7. Closing Remarks (1:19)
8. Assignment
9. Further Reading
End of Course - Final Remarks (1:07)
3. How Transparency Helps Secure Trust
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock