Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks.
Ce cours fait partie de la Technologue émergent certifié en éthique CertNexus Certificat Professionnel
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À propos de ce cours
Foundational ethical concepts, principles and frameworks. All of which can be learned in prior courses within the CEET specialization.
Ce que vous allez apprendre
Summarize common sources of ethical risks.
Detect and mitigate ethical risks.
Evaluate risk identification and mitigation strategies within the lifecycle.
Analyze a sample AI model and create a plan to mitigate any identified risks.
Compétences que vous acquerrez
- Risk Management
- General Statistics
- Risk Assessment
- Ethics Of Artificial Intelligence
- Privacy
Foundational ethical concepts, principles and frameworks. All of which can be learned in prior courses within the CEET specialization.
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Programme de cours : ce que vous apprendrez dans ce cours
Ethical Risk Analysis Fundamentals
Manage Privacy Risks
Manage Accountability Risks
Manage Transparency and Explainability Risks
À propos du Technologue émergent certifié en éthique CertNexus Certificat Professionnel
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