- Level Foundation
- Duration 21 hours
- Course by CertNexus
-
Offered by
About
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.Modules
Overview
4
Videos
- CEET Specialization Introduction
- Promote the Ethical Use of Data-Driven Technologies Course Introduction
- Course Welcome & Success Tips
- Ethics Make a Difference in Emerging Technologies
2
Readings
- Overview
- Get help and meet other learners. Join your Community!
Data Science Fundamentals
4
Videos
- Big Data
- Working with Big Data
- Data Analytics
- Data Science Pipeline
4
Readings
- Ethical Considerations for Data Science
- Benefits of Ethical Data Science
- A Day in the Life of an Ethical Data Scientist
- Data Science Ethics in Practice
Artificial Intelligence Fundamentals
5
Videos
- Artificial Intelligence
- Narrow AI
- General AI and Superintelligence
- Ambient Intelligence and IoT
- The Black Box Problem
5
Readings
- How Close are We to General AI?
- Cracking the Black Box
- Ethical Considerations for AI
- Benefits of Ethical AI
- A Day in the Life of an Ethical AI Engineer
Evaluate What You've Learned
1
Assignment
- Data-Driven Emerging Technologies Quiz
1
Discussions
- Your Concerns
Overview
1
Videos
- The Question of Data Ownership
1
Readings
- Overview
Data and Privacy
7
Videos
- Data Privacy
- PII
- Privacy Risks in IoT/Ambient Intelligence Technologies
- Privacy Protection through Individual Authorization
- Privacy Protection through Data Management
- Privacy by Design
- Differential Privacy
4
Readings
- The Privacy Paradox
- Protected Attributes
- Project Nightingale Case Study
- How Anonymous Is Anonymous?
Legal Concepts Related to Data-Driven Technologies
3
Videos
- Legal Terminology: Responsibility, Accountability, and Liability
- Technology Contract Types
- Smart Contracts
3
Readings
- Data Sharing Agreements
- Visual Contracts
- Click-through Agreement
Evaluate What You've Learned
1
Assignment
- Privacy and Legal Concepts Related to Data-Driven Technologies Quiz
1
Discussions
- Your Data Privacy Concerns
Overview
1
Videos
- The Impact of Bias on Emerging Technologies
1
Readings
- Overview
Bias in Society
3
Videos
- Bias
- Sociological Bias
- Implicit Bias
1
Readings
- Project Implicit
Bias in Thinking
4
Videos
- Cognitive Biases
- Confirmation Bias
- Temporal Bias
- Complacency and Automation Biases
2
Readings
- Cognitive Bias Cheat Sheet
- Confirmation Bias in Data Science
Bias in Data
2
Videos
- Data Collection Bias
- Statistical Bias
3
Readings
- Racial Bias in Criminal Risk Assessment Algorithms
- Bias in Facial Recognition Case Study
- Modeling Bias
Evaluate What You've Learned
1
Assignment
- Bias Quiz
1
Discussions
- Your Oranization's Bias Challenges
Overview
1
Videos
- Thinking about Right and Wrong
1
Readings
- Overview
Moral Philosophical Theories
8
Videos
- Moral Philosophy
- Moral Relativism
- Deontology
- Kant's Categorical Imperative
- Universalizability
- Consequentialism and Utilitarianism
- Virtue Ethics
- Free Will and Determinism
1
Readings
- Hypergiant and Kant Case Study
Moral Analysis
5
Videos
- Norms and Morals
- Moral Agency
- Moral Psychology
- Moral Reasoning
- Moral Judgements
Applied Ethics
8
Videos
- Applied Ethics
- Business Ethics
- Professional Ethics
- Engineering Ethics
- Social Ethics
- Human Rights and Animal Rights
- Bioethics
- Environmental Ethics
Evaluate What You've Learned
1
Assignment
- Ethical Theories Quiz
1
Discussions
- Norms or Ethics
Overview
1
Videos
- Acting on Ethical Principles
1
Readings
- Overview
Ethical Principles
6
Videos
- Autonomy
- Justice
- Beneficence
- Non-Maleficence
- Explainability
- Agency and Personhood
1
Readings
- Officer Chip: Chatbot Ethics Case Study
Strategic Responses to Ethical Considerations
3
Videos
- Ethics as a Benefit and Strategic Differentiator
- Ethics by Design
- Engineering Activism
2
Readings
- IEEE: Ethically Aligned Design Document
- Microsoft Aether: Strategic Ethics Case Study
Evaluate What You've Learned
1
Assignment
- Ethical Principles Applied to Data-Driven Technologies Quiz
1
Discussions
- Professional Application
Project
1
Peer Review
- Op Ed Article
1
Readings
- Writing an Op-Ed Article
Honors Project (Optional)
1
Peer Review
- Feature Article
1
Readings
- Writing a Feature Article
Auto Summary
Promote the Ethical Use of Data-Driven Technologies is a foundational course in the Certified Ethical Emerging Technologist (CEET) certificate offered by Coursera. This course focuses on addressing biases in emerging technologies and promoting ethical practices in AI, machine learning, and data science. Ideal for advocates of ethical tech use, it covers bias types, ethical theories, and privacy concepts over 1260 minutes. Subscription options include Starter and Professional plans.

Tania De Gasperis

Aaron Hui

Eleanor 'Nell' Watson

Renée Cummings