Turn Ethical Frameworks into Actionable Steps
Learn to analyze and apply ethical frameworks, regulations, and standards to guide responsible development of data-driven technologies.
Learn to analyze and apply ethical frameworks, regulations, and standards to guide responsible development of data-driven technologies.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full CertNexus Certified Ethical Emerging Technologist Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(135 ratings)
22,617 already enrolled
Instructors:
English
Powered by
What you'll learn
Analyze ethical frameworks and their common principles
Select and apply appropriate frameworks to resolve organizational issues
Understand regulations and international best practices
Integrate ethics with business requirements
Reconcile conflicts between ethics and business demands
Skills you'll gain
This course includes:
4.3 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course explores the practical application of ethical frameworks in data-driven technologies. Students learn to analyze various ethical frameworks, from the Montreal Declaration to IEEE guidelines, and apply them to real-world scenarios. The curriculum covers key principles including privacy, accountability, transparency, and fairness, while addressing the challenges of reconciling ethical obligations with business demands. Special emphasis is placed on regulatory compliance and international standards.
Apply Ethical Frameworks
Module 1 · 3 Hours to complete
Navigate Ethical Dilemmas
Module 2 · 1 Hours to complete
Follow Regulations
Module 3 · 1 Hours to complete
Reconcile Conflicts
Module 4 · 1 Hours to complete
Apply What You've Learned
Module 5 · 7 Hours to complete
Fee Structure
Instructors
AI Ethics Pioneer Aaron Hui Shapes Future of Responsible Technology Education
Aaron Hui has emerged as a transformative figure in AI ethics education and advocacy, making history by designing and teaching UCLA's first undergraduate AI Ethics course that uniquely bridges computer science and philosophy. As the founder of The AI Robotics Ethics Society (AIRES), he has created a powerful platform for interdisciplinary dialogue on ethical AI implementation, successfully expanding the organization's presence to prestigious institutions including USC, Cornell, Caltech, Stanford, and Brown. His commitment to fostering responsible AI development extends to his role as Founding Editor in Chief of the AI Ethics Journal (AIEJ), where he leads efforts to democratize academic discourse on ethical AI through an open-access platform. Through these initiatives, Hui has established a comprehensive ecosystem that connects students, academics, and professionals in the pursuit of ensuring ethical considerations remain at the forefront of AI development and implementation.
AI Ethics Pioneer Abhishek Gupta Leads Global Innovation in Responsible AI Development
Abhishek Gupta stands as a prominent figure in AI ethics as the founder of the Montreal AI Ethics Institute and Director for Responsible AI at Boston Consulting Group. His multifaceted career spans roles from Machine Learning Engineer at Microsoft to representing Canada in the US State Department's International Visitor Leaders Program. Gupta's influence extends through numerous prestigious appointments, including positions on the AI Advisory Board for Dawson College, the LF AI Foundation, and as a Global Shaper with the World Economic Forum. His academic contributions include serving as a Faculty Associate at Frankfurt Big Data Lab and guest lecturer at McGill University. Through his leadership, he has established the world's largest community-driven public consultation group on AI Ethics, significantly influencing major policy frameworks including the Montreal Declaration for Responsible AI, G7 AI Summit guidelines, and the European Commission Trustworthy AI Guidelines. His research focuses on practical applications of ethical AI principles, addressing safety and inclusivity concerns across various domains, earning recognition from governments worldwide for his contributions to public competence building in AI Ethics
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.