Promote the Ethical Use of Data-Driven Technologies
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
Distinguish between artificial intelligence and data science concepts
Protect data privacy with ethical and legal standards
Assess potential risks of bias in technology
Apply ethical principles to data-driven solutions
Implement privacy protection strategies
Develop ethical frameworks for emerging technologies
Skills you'll gain
This course includes:
4.75 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course focuses on promoting ethical practices in data-driven technologies. Through six modules, students explore emerging technologies, privacy concepts, types of bias, ethical theories, and practical applications. The curriculum covers artificial intelligence, data science, machine learning, and IoT, emphasizing the importance of ethical considerations in technological development and implementation. Students learn to identify potential risks, protect data privacy, and implement ethical frameworks in real-world scenarios.
Identify Data-Driven Emerging Technologies
Module 1 · 3 Hours to complete
Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
Module 2 · 2 Hours to complete
Examine Types of Bias
Module 3 · 2 Hours to complete
Examine Common Ethical Theories
Module 4 · 2 Hours to complete
Examine Ethical Principles that Apply to Data-Driven Technology
Module 5 · 2 Hours to complete
Apply What You've Learned
Module 6 · 7 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 Nell Watson Shapes the Future of Responsible Machine Intelligence
Eleanor 'Nell' Watson has established herself as a transformative figure in AI ethics and machine intelligence, combining technical innovation with ethical leadership. As the founder of QuantaCorp, she pioneered Deep Machine Vision technology for accurate body measurement, while her role as AI Faculty at Singularity University and author for O'Reilly Media demonstrates her commitment to education. Her influence extends through multiple leadership positions, including Chair of IEEE's ECPAIS Transparency Experts Focus Group and Vice-Chair of P7001 Transparency of Autonomous Systems committee, where she develops mechanisms to ensure algorithmic trust. Watson's dedication to ethical AI is further exemplified through her chairmanship of organizations like EthicsNet.org, CulturalPeace.org, and Pacha.org, while serving as Executive Consultant for Apple and President of EURAIO. Her expertise has been recognized through fellowships from prestigious institutions including the British Computing Society and Royal Statistical Society, and she regularly inspires audiences at prominent venues such as The World Bank, The United Nations General Assembly, and The Royal Society
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Frequently asked questions
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