Detect and Mitigate Ethical Risks
Master ethical risk analysis and mitigation strategies for data-driven technologies, focusing on privacy, accountability, and fairness.
Master ethical risk analysis and mitigation strategies for data-driven technologies, focusing on privacy, accountability, and fairness.
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.
4.5
(84 ratings)
20,101 already enrolled
Instructors:
English
Powered by
What you'll learn
Identify common sources of ethical risks in AI systems
Implement effective risk detection and mitigation strategies
Evaluate risk management approaches across development lifecycles
Analyze AI models for potential ethical concerns
Develop comprehensive risk mitigation plans
Skills you'll gain
This course includes:
7.8 Hours PreRecorded video
6 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 7 modules in this course
This comprehensive course focuses on detecting and mitigating ethical risks in data-driven technologies. Students learn risk analysis fundamentals and practical strategies for managing various types of ethical risks, including privacy, accountability, transparency, fairness, and security concerns. The curriculum covers tools and techniques for assessing ethical gaps, identifying threats, and implementing risk management across development lifecycles. Special emphasis is placed on practical applications through real-world scenarios.
Ethical Risk Analysis Fundamentals
Module 1 · 2 Hours to complete
Manage Privacy Risks
Module 2 · 2 Hours to complete
Manage Accountability Risks
Module 3 · 2 Hours to complete
Manage Transparency and Explainability Risks
Module 4 · 2 Hours to complete
Manage Fairness and Non-Discrimination Risks
Module 5 · 2 Hours to complete
Manage Safety and Security Risks
Module 6 · 2 Hours to complete
Apply What You've Learned
Module 7 · 5 Hours to complete
Fee Structure
Instructors
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
AI Ethics Leader Jennifer Fischer Champions Digital Innovation and Inclusive Technology
Jennifer Fischer stands at the intersection of technology ethics and educational innovation as an Adjunct Professor of Digital Ethics and Executive Director at Felician University's Center for Innovation. Drawing from her extensive 25-year career, including her role as Global Head of Platform Security Management at KPMG International, she brings unique insights to AI ethics and digital transformation. Her current work spans consulting on AI governance, developing ethical technology frameworks, and fostering innovative learning experiences in Ethical AI and Digital Citizenship. Fischer's commitment to inclusive technology is evident through her leadership roles as Faculty Adviser for Girls Who Code, the International Consortium of Minority Cybersecurity Professionals, and SheTek initiatives. Her influence extends to policy and research through positions on the NJBIA Education & Workforce Development Committee and NJ Big Data Alliance Research Committee, while her contributions as a reviewer for The AI Ethics Journal solidify her status as a thought leader in digital ethics, robot integration, and AI augmentation strategies.
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.