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Promote the Ethical Use of Data-Driven Technologies

Approx. 21 hours to complete

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Course Summary

This course explores how to promote ethical data-driven technologies through the lens of responsible data management practices and data governance principles.

Key Learning Points

Understand the key ethical issues related to data-driven technologies
Learn best practices for responsible data management
Develop skills to promote ethical data use and governance

Job Positions & Salaries of people who have taken this course might have

- USA: $114,000
- India: ₹1,200,000
- Spain: €50,000
- USA: $114,000
- India: ₹1,200,000
- Spain: €50,000
- USA: $85,000
- India: ₹900,000
- Spain: €38,000
- USA: $114,000
- India: ₹1,200,000
- Spain: €50,000
- USA: $85,000
- India: ₹900,000
- Spain: €38,000
- USA: $75,000
- India: ₹800,000
- Spain: €33,000

Learning Outcomes

Understand ethical issues related to data-driven technologies
Develop skills to promote ethical data use and governance
Learn best practices for responsible data management

Prerequisites or good to have knowledge before taking this course

Basic knowledge of data-driven technologies
Familiarity with data management principles

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Video lectures
Quizzes and assignments

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Data Ethics
Ethics in AI and Big Data

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Description

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.

Knowledge

Distinguish between artificial intelligence and data science concepts.
Protect data privacy with ethical and legal standards.
Assess the potential risks of bias.
Advocate for the importance of risk evaluation in emerging technologies.

Outline

Identify Data-Driven Emerging Technologies
CEET Specialization Introduction
Promote the Ethical Use of Data-Driven Technologies Course Introduction
Course Welcome & Success Tips
Ethics Make a Difference in Emerging Technologies
Big Data
Working with Big Data
Data Analytics
Data Science Pipeline
Artificial Intelligence
Narrow AI
General AI and Superintelligence
Ambient Intelligence and IoT
The Black Box Problem
Overview
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
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
Data-Driven Emerging Technologies Quiz

Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
The Question of Data Ownership
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
Legal Terminology: Responsibility, Accountability, and Liability
Technology Contract Types
Smart Contracts
Overview
The Privacy Paradox
Protected Attributes
Project Nightingale Case Study
How Anonymous Is Anonymous?
Data Sharing Agreements
Visual Contracts
Click-through Agreement
Privacy and Legal Concepts Related to Data-Driven Technologies Quiz

Examine Types of Bias
The Impact of Bias on Emerging Technologies
Bias
Sociological Bias
Implicit Bias
Cognitive Biases
Confirmation Bias
Temporal Bias
Complacency and Automation Biases
Data Collection Bias
Statistical Bias
Overview
Project Implicit
Cognitive Bias Cheat Sheet
Confirmation Bias in Data Science
Racial Bias in Criminal Risk Assessment Algorithms
Bias in Facial Recognition Case Study
Modeling Bias
Bias Quiz

Examine Common Ethical Theories
Thinking about Right and Wrong
Moral Philosophy
Moral Relativism
Deontology
Kant's Categorical Imperative
Universalizability
Consequentialism and Utilitarianism
Virtue Ethics
Free Will and Determinism
Norms and Morals
Moral Agency
Moral Psychology
Moral Reasoning
Moral Judgements
Applied Ethics
Business Ethics
Professional Ethics
Engineering Ethics
Social Ethics
Human Rights and Animal Rights
Bioethics
Environmental Ethics
Overview
Hypergiant and Kant Case Study
Ethical Theories Quiz

Examine Ethical Principles that Apply to Data-Driven Technology
Acting on Ethical Principles
Autonomy
Justice
Beneficence
Non-Maleficence
Explainability
Agency and Personhood
Ethics as a Benefit and Strategic Differentiator
Ethics by Design
Engineering Activism
Overview
Officer Chip: Chatbot Ethics Case Study
IEEE: Ethically Aligned Design Document
Microsoft Aether: Strategic Ethics Case Study
Ethical Principles Applied to Data-Driven Technologies Quiz

Apply What You've Learned
Writing an Op-Ed Article
Writing a Feature Article

Summary of User Reviews

Read reviews for Promote Ethical Data-Driven Technologies on Coursera. Users generally enjoyed the course, particularly its emphasis on ethics in data-driven technologies. Additionally, users found the course material to be informative and well-structured.

Key Aspect Users Liked About This Course

The course's focus on ethical considerations in data-driven technologies was a key aspect that many users appreciated.

Pros from User Reviews

The course content is well-structured and informative.
The instructor is knowledgeable and engaging.
The course provides a good overview of ethical considerations in data-driven technologies.

Cons from User Reviews

The course could go into more depth in some areas.
Some users found the course material to be too basic.
There is limited opportunity for interaction with other students.

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