The rapid advancements in computing and engineering are leading to significant innovations across various technologies like blockchain, AI, gene editing, and IoT. While these developments offer great potential for enhancing productivity and human well-being, they also pose new ethical challenges and risks, particularly regarding human rights and the environment.
This course is designed for technology professionals who need to understand and manage these ethical risks. It will equip you with the necessary tools to navigate complex trade-offs between aspects like privacy, fairness, and accountability. Through a practical approach, you'll learn to apply ethical theories and industry best practices to the development of data-driven technologies.
To participate successfully, please review the mandatory prerequisites listed in the linked CEET Prerequisites and CertNexus Exam Blueprints.
In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will:
This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science.
This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-
110: Certified Ethical Emerging Technologies.
Introduction to Ethics of Emerging Technologies
Identifying Ethical Risks
Ethical Reasoning in Practice
Identifying and Mitigating Security Risks
Identifying and Mitigating Privacy Risks
Identifying and Mitigating Fairness and Bias Risks
Identifying and Mitigating Transparency and Explainability Risks
Identifying and Mitigating Accountability Risks
Building an Ethical Organization
Developing Ethical Systems in Technology-Focused Organizations
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