Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm. Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations.
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will:
Describe general concepts, theories, and challenges related to ethics and emerging technologies.
Identify ethical risks.
Practice ethical reasoning.
Identify and mitigate safety and security risks.
Identify and mitigate privacy risks.
Identify and mitigate fairness and bias risks.
Identify and mitigate transparency and explainability risks.
Identify and mitigate accountability risks.
Build an ethical organization.
Develop ethical systems in technology-focused organizations.