Create and Lead an Ethical Data-Driven Organization
This course is part of CertNexus Certified Ethical Emerging Technologist.
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.
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What you'll learn
Lead and champion applied ethics initiatives
Promote ethical organizational culture
Develop and implement ethical policies
Create and deploy a code of ethics
Evaluate effectiveness with stakeholders
Skills you'll gain
This course includes:
3.1 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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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 focuses on creating and leading ethical data-driven organizations through cultural transformation. Students learn to develop and implement ethical frameworks, establish governance structures, and create effective policies. The curriculum covers leadership strategies, ethics board creation, policy development, and organizational change management. Special emphasis is placed on practical implementation through real-world scenarios and stakeholder engagement.
Promote an Ethical Organizational Culture
Module 1 · 2 Hours to complete
Maintain Ethical Considerations in Governance and Policy Making
Module 2 · 1 Hours to complete
Develop and Deploy a Code of Ethics
Module 3 · 2 Hours to complete
Develop and Deploy Ethical Organizational Policies
Module 4 · 2 Hours to complete
Apply What You've Learned
Module 5 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: CertNexus Certified Ethical Emerging Technologist
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
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Frequently asked questions
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