Coursera

Artificial Intelligence Ethics in Action (Coursera)

Offered by LearnQuest,

AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.
Course 4 of 4 in the Ethics in the Age of AI Specialization.

Syllabus

WEEK 1
Introduction
Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
Project 1 - OpenAI: GPT-3 Analysis
Examining bias in a predictive text model

WEEK 2
Project 2 - Alleghany Screening Analysis
Understanding fairness issues with sensitive predictions

WEEK 3
Project 3 - Game Theory Algorithm Design
Predicting ethical issues before they arise in model theory

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Minnesota

Introduction to UX Design MasterTrack Certificate Program (Coursera)

CS: Design & Product Art and Culture

User experience is a highly in-demand field which requires a holistic understanding of the design process. This course is a "sample" of the UX Design MasterTrack certificate program. You will have the opportunities to explore core topics in UX including Ethics and Research, User Research, User Testing, and Visual Literacy as four modules.

Aug 31st 2026

5-12 Weeks

Ethics UX User Experience

Coursera

The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

Statistics & Data Analysis Data Science

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Aug 31st 2026

5-12 Weeks

History Education China

Coursera

University of Pennsylvania

Corruption (Coursera)

Social Sciences

You can't understand the world today if you don't understand corruption. Every day, we see high-level government officials resigning, governments changing, hundreds of thousands of people standing in squares, holding up signs, and often risking their lives to protest the corruption in the world. It's critically important to the health of our societies to understand what people are protesting against. We want to understand corruption. This course is designed to teach you about what corruption is, what causes corruption, the effects of corruption, and how to control corruption.

Aug 31st 2026

4 Weeks

Ethics Corruption Business Strategies for A Better World Specialization

Coursera

University of Toronto

Bioinformatic Methods II (Coursera)

Sci: Biology & Life Sciences Health & Society

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Aug 31st 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Aug 31st 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

Coursera

Google Cloud

Google Cloud Product Fundamentals en Español (Coursera)

Business

Este curso, que es una continuación de Business Transformation with Google Cloud, le permitirá conocer la perspectiva tecnológica de la transformación de una organización. Para ser más específicos, explicaremos cómo la tecnología de Google Cloud puede transformar digitalmente una organización en los siguientes aspectos: modernizar la infraestructura de TI; mejorar la forma en que los equipos desarrollan las aplicaciones que utiliza la empresa; saber cómo aprovechar el aprendizaje automático y la inteligencia artificial para generar más valor; advertir el rol fundamental de las herramientas de productividad basadas en la nube, como G Suite, para cumplir con el trabajo, y comprender los desafíos y las oportunidades de la administración de costos que trae aparejados una infraestructura de TI cambiante basada en la nube.

Aug 31st 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

Coursera

Icahn School of Medicine at Mount Sinai

Network Analysis in Systems Biology (Coursera)

Sci: Biology & Life Sciences

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools.

Aug 31st 2026

5-12 Weeks

Biology Network Analysis

Coursera

Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Aug 31st 2026

4 Weeks

Healthcare Artificial Intelligence Machine Learning

Coursera

Technical University of Denmark - DTU

Environmental Management & Ethics (Coursera)

Sci: Environment

Decision-makers often turn to scientists and engineers to assist them to navigate through complex environmental, health and societal challenges pervaded by systemic uncertainty, ambiguity and ethical implications. This course prepares you to meet the requests and demands of current and future decision-makers and in this course, you will analyze ethical challenges associated with environmental dilemmas and apply different decision making tools relevant to environmental management and regulation.

Aug 31st 2026

5-12 Weeks

Ethics Environment Ambiguity

Coursera

University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

Statistics & Data Analysis Data Science

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Aug 31st 2026

5-12 Weeks

Statistics Data Analysis Comparison

Coursera

Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

CS: Information & Technology

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Aug 31st 2026

2 Weeks

Data Analysis Data Visualization Data Exploration

Coursera

Erasmus University Rotterdam

Necessary Condition Analysis (NCA) (Coursera)

Economics & Finance

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed.

Aug 31st 2026

5-12 Weeks

Data Analysis Coursera Plus Necessary Condition Analysis