Ethical principles build a strong foundation for driving ethical technologies. Principles alone can be elusive and impractical for application. Ethical frameworks based upon these principles provide a structure to guide technologists when implementing data-driven solutions. However, ethical frameworks, along with standards and regulations, can make compliance tasks more complex, and they can also raise the tension between ethical duties and business practicalities. An approach is needed to reconcile these issues. This second course within the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to analyze ethical frameworks, regulations, standards, and best practices and integrate them into data-driven solutions.
Turn Ethical Frameworks into Actionable Steps
This course is part of CertNexus Certified Ethical Emerging Technologist Professional Certificate
Instructors: Eleanor 'Nell' Watson
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What you'll learn
Analyze ethical frameworks to determine their common principles.
Compare ethical frameworks and select one to guide decisions to resolve an organizational issue.
Analyze applicable regulations, standards, and international best practices.
Integrate ethical principles, regulatory requirements, and business practicalities.
Skills you'll gain
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There are 5 modules in this course
The first module in this course will describe some key ethical frameworks in the field of data-driven technology. In addition, the module will cover some important ethical principles that go into these frameworks. These principles will also come up again later courses in this specialization.
What's included
23 videos5 readings1 assignment1 discussion prompt
In this module, you'll approach some interesting ethical dilemmas that might occur in the development or operation of data-driven technologies like AI. Some of these dilemmas are more philosophical in nature, whereas others are closer to real-world practice.
What's included
10 videos1 reading1 assignment1 discussion prompt
This module will cover some of the major laws, regulations, and standards that have an impact on the ethical operations of a data-driven organization. It will also discuss how these rules may apply to certain industries or hold relevance in specific business domains.
What's included
22 videos1 reading1 assignment1 discussion prompt
In this module, you'll be given several scenarios and conflicting ideas that raise significant ethical concerns within the organization. The module will explore these conflicts in some detail and provide some recommendations for reconciling them.
What's included
17 videos1 reading1 assignment1 discussion prompt
In this final module, you'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
What's included
1 reading2 peer reviews
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Recommended if you're interested in Machine Learning
Board Infinity
University of Michigan
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Reviewed on Nov 19, 2020
Amazing instructor, great content, and the assignments are very helpful in applying the concepts. Thank you for this course!
Reviewed on May 4, 2023
Excellent course material.This is the first course in AI ethical frameworks with concise and specific,consolidated with appropriate real-time examples for various industres.Thank you!
Reviewed on May 17, 2023
absolutely fantastic course covering all the ethical frameworks and regulations and scenarios
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