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Tania De Gasperis,
Megan Smith Branch,
Aaron Hui,
Eleanor 'Nell' Watson,
and
Renée Cummings
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ulb8jb/promote
What's inside
Syllabus
Identify Data-Driven Emerging Technologies
The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
Read more
Syllabus
Identify Data-Driven Emerging Technologies
The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
Read more
Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
The second module in this course deals with the concept of privacy as it relates to data-driven technologies. You'll learn about the interaction of data and privacy from both a legal and ethical standpoint, as well as terms and concepts that surround these interactions.
Examine Types of Bias
This module outlines the concept of bias as it relates to data-driven technologies. In particular, it focuses on the types of biases out there, and how bias in data-driven technologies affects people and societies.
Examine Common Ethical Theories
This module will cover some of the major theories and concepts that are involved in the field of ethics. It will also tie those theories and concepts to their application in data-driven technologies like AI.
Examine Ethical Principles that Apply to Data-Driven Technology
This module will cover some of the major ethical principles. It will also demonstrate how to integrate those ethical principles in the organization.
Apply What You've Learned
You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides the foundation for ethical use of data-driven technologies, supporting professional practice and development
Led by Eleanor 'Nell' Watson, Aaron Hui, Megan Smith Branch, Tania De Gasperis, and Renée Cummings, who are recognized for their work in emerging technologies and ethics
Introduces fundamental concepts of emerging technologies and their ethical implications
Covers key types of bias and ethical theories applicable to data-driven technologies
Provides practical hands-on projects to apply the knowledge gained throughout the course
Designed for learners seeking to champion ethical data-driven technologies
Save this course
Save Promote the Ethical Use of Data-Driven Technologies to your list so you can find it easily later:
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Reviews summary
Highly recommended: ethical use of data-driven technologies
Learners largely agree that this course provides engaging assignments and a well-organized curriculum that emphasizes ethics and emerging technologies. According to students, this course is highly recommended for its useful content and practical knowledge that can be immediately applied in the workplace.
Assignments and quizzes are engaging and reinforce learning.
"Good summary and mix of content."
"Great content and the assignment was very helpful in applying the concepts learned."
"The course helped me validate the work I had already accomplished in AI Governance, Algorithmic Impact Assessment, and AI Ethic Principles and Procurement."
Course provides insightful information on AI and ethics.
"very informative on artificial intelligence. i enjoyed the classes."
"Good content and the assignment was very helpful in applying the concepts learned."
"The course helped me validate the work I had already accomplished in AI Governance, Algorithmic Impact Assessment, and AI Ethic Principles and Procurement."
Course provides a strong focus on ethical use of data.
"Well-organized course content,the way data-driven technologies were consolidated with minimum required information with emphasis on ethics is really helpful."
"Excellent. the main focus of this course is to promote the ethical use of data-driven technologies."
"Greatest course ever. It helps me a lot in learning more about data ethics and its values."
Course content is practical and applicable to real life.
"Equips you with the knowledge you can use straight away."
"I have learned a lot of good things about the subject."
"The course helped me validate the work I had already accomplished in AI Governance."
Course materials may be outdated and lack visual support.
"Basically talking heads reading the pre-written text - without any visual clues. From the perspective of learning methodology - it's a total disaster."
"The sound its horrible after week 3."
"pretty useful, however some conten was outdated(2016-2018) and not relevent for the new age technologies."
Peer review process may compromise feedback quality.
"the course material was interesting and quizes pointed out important things to remember, however, im giving 3 stars because I dont like the way the final assignment is done. Its hard to ensure students will get the feedback they need with only peer reviews "
"the professional content is excellent but the peer review process seems to consist of nonsense submissions with reviewers giving the maximum scores irrespective of the content."
"A bit boring course where lecturers just speak in the camera.There is also a problem with students - bad actors, that verify each other on peer-review steps (see discussions forums)."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Promote the Ethical Use of Data-Driven Technologies with these
activities:
Review fundamental ethical theories
Show steps
Refresh your understanding of basic ethical theories to lay the foundation for the course.
Show steps
-
Review key concepts like utilitarianism, deontology, and virtue ethics.
-
Read relevant articles or book chapters on the topic.
Identify and analyze biases in real-world examples
Show steps
Develop your ability to recognize and assess different types of biases commonly encountered.
Show steps
-
Examine news articles, social media posts, and advertisements for evidence of bias.
-
Discuss your findings in online forums or with peers.
Engage in discussions on ethical responsibilities in the tech industry
Show steps
Foster critical thinking and exchange diverse perspectives on ethical practices within the tech sector.
Show steps
-
Join online forums or study groups dedicated to tech ethics.
-
Share your views and engage in respectful debates.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore case studies of ethical dilemmas in emerging technology
Show steps
Deepen your understanding of the ethical implications of emerging technologies by analyzing real-life scenarios.
Show steps
-
Read case studies and articles on ethical issues in AI, machine learning, and data science.
-
Participate in online discussions or webinars to discuss your insights.
Develop a presentation on the ethical implications of a specific emerging technology
Show steps
Synthesize your knowledge and present your understanding of the ethical considerations surrounding a particular emerging technology.
Show steps
-
Research and gather information on the ethical implications of the chosen technology.
-
Create a visually engaging and informative presentation.
-
Deliver the presentation to peers or an online audience.
Participate in organizations promoting ethical use of technology
Show steps
Gain practical experience and contribute to the community by volunteering with organizations dedicated to promoting ethical technology practices.
Show steps
-
Research and identify organizations working in the field of tech ethics.
-
Contact them to inquire about volunteer opportunities.
-
Participate in events, workshops, or advocacy campaigns.
Contribute to open-source projects related to ethical technology
Show steps
Gain hands-on experience and contribute to the development of ethical frameworks and tools for emerging technologies.
Show steps
-
Search for open-source projects focused on ethical technology.
-
Identify areas where you can contribute your skills.
-
Collaborate with project maintainers and contribute code or documentation.
Review fundamental ethical theories
Show steps
Refresh your understanding of basic ethical theories to lay the foundation for the course.
Show steps
Show steps
Show steps
- Review key concepts like utilitarianism, deontology, and virtue ethics.
- Read relevant articles or book chapters on the topic.
Identify and analyze biases in real-world examples
Show steps
Develop your ability to recognize and assess different types of biases commonly encountered.
Show steps
Show steps
Show steps
- Examine news articles, social media posts, and advertisements for evidence of bias.
- Discuss your findings in online forums or with peers.
Engage in discussions on ethical responsibilities in the tech industry
Show steps
Foster critical thinking and exchange diverse perspectives on ethical practices within the tech sector.
Show steps
Show steps
Show steps
- Join online forums or study groups dedicated to tech ethics.
- Share your views and engage in respectful debates.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore case studies of ethical dilemmas in emerging technology
Show steps
Deepen your understanding of the ethical implications of emerging technologies by analyzing real-life scenarios.
Show steps
Show steps
Show steps
- Read case studies and articles on ethical issues in AI, machine learning, and data science.
- Participate in online discussions or webinars to discuss your insights.
Develop a presentation on the ethical implications of a specific emerging technology
Show steps
Synthesize your knowledge and present your understanding of the ethical considerations surrounding a particular emerging technology.
Show steps
Show steps
Show steps
- Research and gather information on the ethical implications of the chosen technology.
- Create a visually engaging and informative presentation.
- Deliver the presentation to peers or an online audience.
Participate in organizations promoting ethical use of technology
Show steps
Gain practical experience and contribute to the community by volunteering with organizations dedicated to promoting ethical technology practices.
Show steps
Show steps
Show steps
- Research and identify organizations working in the field of tech ethics.
- Contact them to inquire about volunteer opportunities.
- Participate in events, workshops, or advocacy campaigns.
Contribute to open-source projects related to ethical technology
Show steps
Gain hands-on experience and contribute to the development of ethical frameworks and tools for emerging technologies.
Show steps
Show steps
Show steps
- Search for open-source projects focused on ethical technology.
- Identify areas where you can contribute your skills.
- Collaborate with project maintainers and contribute code or documentation.
Career center
Learners who complete Promote the Ethical Use of Data-Driven Technologies will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for building and maintaining data pipelines. They work with other stakeholders to design and implement data ingestion, transformation, and storage processes. This course is highly relevant for aspiring Data Engineers as it provides a comprehensive overview of data-driven technologies and the ethical considerations surrounding their use.
Ethical Hacker
Ethical Hacker
An Ethical Hacker is a security professional who is hired to hack into an organization's systems to identify and fix vulnerabilities. They use their knowledge of hacking techniques to find weaknesses in systems and networks, and they work with other stakeholders to develop and implement security patches. This course is highly relevant for aspiring Ethical Hackers as it provides a comprehensive overview of emerging technologies and the ethical considerations surrounding their use.
Data Protection Officer
Data Protection Officer
A Data Protection Officer (DPO) is responsible for ensuring that an organization complies with data protection laws and regulations. They work with other stakeholders to develop and implement data protection policies and procedures, and they train employees on data protection best practices. This course is highly relevant for aspiring DPOs as it provides a comprehensive overview of legal and ethical privacy concepts as they relate to data-driven technologies.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing an organization's data architecture. They work with other stakeholders to develop data models, data integration strategies, and data governance policies. This course is highly relevant for aspiring Data Architects as it provides a comprehensive overview of data-driven technologies and the ethical considerations surrounding their use.
Privacy Analyst
Privacy Analyst
A Privacy Analyst is responsible for ensuring that an organization's data is collected, used, and disclosed in a manner that complies with privacy laws and regulations. They work with other stakeholders to develop and implement privacy policies and procedures, and they train employees on privacy best practices. This course is highly relevant for aspiring Privacy Analysts as it provides a comprehensive overview of legal and ethical privacy concepts as they relate to data-driven technologies.
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, cleaning, and analyzing data to extract meaningful insights. They use their knowledge of statistics, machine learning, and data mining to build predictive models and identify trends that can help businesses make better decisions. This course helps build a foundation for aspiring Data Scientists by providing a solid understanding of data-driven technologies and the ethical implications of their use.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They use their knowledge of machine learning algorithms and techniques to build models that can learn from data and make predictions. This course may be useful for aspiring Machine Learning Engineers as it provides a foundation in emerging technologies such as machine learning and AI, as well as the ethical considerations surrounding their use.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs, develops, and implements Artificial Intelligence (AI) solutions. They use their knowledge of AI principles and techniques to build AI systems that can perform tasks such as natural language processing, image recognition, and machine learning. This course may be useful for aspiring Artificial Intelligence Engineers as it provides a foundation in emerging technologies such as AI and machine learning, as well as the ethical considerations surrounding their use.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. They work with other stakeholders to gather requirements, develop system specifications, and implement new systems. This course may be useful for aspiring Systems Analysts as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with other stakeholders to develop and implement security policies and procedures, and they monitor and respond to security threats. This course may be useful for aspiring Information Security Analysts as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. They work with other stakeholders to gather requirements, design software architectures, and implement software solutions. This course may be useful for aspiring Software Engineers as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
Security Analyst
Security Analyst
A Security Analyst is responsible for monitoring and analyzing security events to identify and respond to threats. They work with other stakeholders to develop and implement security policies and procedures, and they train employees on security best practices. This course may be useful for aspiring Security Analysts as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
IT Auditor
IT Auditor
An IT Auditor is responsible for auditing an organization's IT systems and processes to ensure that they are operating in accordance with applicable laws and regulations. They work with other stakeholders to develop audit plans, conduct audits, and report audit findings. This course may be useful for aspiring IT Auditors as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business needs and developing solutions to meet those needs. They work with other stakeholders to gather requirements, develop business processes, and implement new systems. This course may be useful for aspiring Business Analysts as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products and features. They work with other stakeholders to define product requirements, develop marketing plans, and track product performance. This course may be useful for aspiring Product Managers as it provides a foundation in emerging technologies and the ethical considerations surrounding their use.
For more career information including salaries, visit:
OpenCourser.com/course/ulb8jb/promote
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Promote the Ethical Use of Data-Driven Technologies.
Save
Exposes the dangers of using big data to make decisions about people's lives. O'Neil shows how these algorithms can be biased and discriminatory, and she calls for greater transparency and accountability in the use of data.
Provides a rigorous mathematical framework for understanding the ethical implications of algorithms. Kearns and Roth show how to design algorithms that are fair, accountable, and transparent.
Explores the legal and ethical issues surrounding the collection and use of big data. Solove argues that we need to strike a balance between protecting privacy and using data for the public good.
Save
Examines the impact of algorithms on our society. Pasquale argues that we need to be aware of the power of algorithms and take steps to mitigate their potential harms.
Explores the ways in which algorithms can perpetuate and reinforce social inequality. Noble shows how algorithms can be biased against marginalized groups, and she calls for greater transparency and accountability in the use of algorithms.
Argues that surveillance capitalism new form of capitalism that is based on the commodification of personal data. Zuboff shows how surveillance capitalism is eroding our privacy and our freedom.
Classic work of sociology that explores the ways in which people present themselves to others. Goffman's insights into human behavior are essential reading for anyone interested in understanding the ethical implications of data-driven technologies.
Save
Explores the science of habit formation. Duhigg shows how habits can be shaped by data-driven technologies, and he provides practical tips for breaking bad habits and forming good ones.
Save
Explores the two systems of thinking that govern human behavior. Kahneman shows how System 1 (fast, intuitive thinking) and System 2 (slow, deliberative thinking) interact to shape our decisions. This book is essential reading for anyone interested in understanding the ethical implications of data-driven technologies.
Save
Explores the power of nudges—small changes to our environment that can influence our behavior. Thaler and Sunstein show how nudges can be used to promote healthy eating, saving, and other positive behaviors.
Explores the moral psychology of liberals and conservatives. Haidt shows how our moral intuitions are shaped by our culture and our experiences, and he argues that we need to be more open to understanding the perspectives of others.
Save
Explores the cultural divide between urban and rural America. Hochschild shows how different values and beliefs lead to different political views, and she argues that we need to find ways to bridge the gap.
Explores the rise of populism and nationalism around the world. Gurri argues that these movements are a reaction to the erosion of trust in institutions and the rise of inequality.
Save
Explores the challenges facing capitalism in the 21st century. Collier argues that we need to reform capitalism to make it more inclusive and sustainable.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ulb8jb/promote
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Effort
6 weeks of study, 2-3 hours per week.
Level
Introductory
Via
Coursera
Institution
CertNexus
Instructors
Tania De Gasperis
Megan Smith Branch
Aaron Hui
Eleanor 'Nell' Watson
Renée Cummings
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
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हिंदी
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Polski
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Good to know
Provides the foundation for ethical use of data-driven technologies, supporting professional practice and development
Led by Eleanor 'Nell' Watson, Aaron Hui, Megan Smith Branch, Tania De Gasperis, and Renée Cummings, who are recognized for their work in emerging technologies and ethics
Introduces fundamental concepts of emerging technologies and their ethical implications
Covers key types of bias and ethical theories applicable to data-driven technologies
Provides practical hands-on projects to apply the knowledge gained throughout the course
Designed for learners seeking to champion ethical data-driven technologies
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