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Promote the Ethical Use of Data-Driven Technologies 

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Promote the Ethical Use of Data-Driven Technologies
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Coursera 
Overview

Duration

21 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Promote the Ethical Use of Data-Driven Technologies
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Student Reviews

Promote the Ethical Use of Data-Driven Technologies
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Course 1 of 6 in the CertNexus Certified Ethical Emerging Technologist
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Beginner Level General business knowledge.
  • Approx. 21 hours to complete
  • English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
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Promote the Ethical Use of Data-Driven Technologies
 at 
Coursera 
Course details

More about this course
  • 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.
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Promote the Ethical Use of Data-Driven Technologies
 at 
Coursera 
Curriculum

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

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Promote the Ethical Use of Data-Driven Technologies
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Students Ratings & Reviews

5/5
Verified Icon1 Rating
S
Simran kaur saini
Promote the Ethical Use of Data-Driven Technologies
Offered by Coursera
5
Learning Experience: Distinguish between artificial intelligence and data science concepts.
Faculty: There were only recorded sessions as this is a direct connection from international universities, faculties are very experienced and they very well know how to engage the students in studies. In between sessions there is a quiz round to make the session interesting. Flexible deadlines, Shareable certificate, 100 percent online, 5 to 6 experience faculty members to teach us this particular course. Min 80 percent is required to qualify a course
Course Support: I can display myself that i have done this particular course during my leisure time and qualified in this particular time period.
Reviewed on 5 Mar 2023Read More
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Promote the Ethical Use of Data-Driven Technologies
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