In this course you will learn about business drivers for AI, the ethical challenges and impacts of AI and Data Science, the business and societal dynamics at work in an AI world, the key principles for building responsible AI, and more. This course introduces some of the principles and frameworks that puts ethics and responsibility into practice in the data analytics profession. And offers practical approaches to technical, business and leadership dilemmas and challenges posed by work in AI and Data Science.
The course is designed for business, government and technology leaders and data scientists who are responsible for building and adopting AI tools.
The key to a successful open technology project is to ensure a neutral playing field for all developers, technologists, and companies to collectively contribute to project evolution and growth. The Linux Foundation was built on the idea of the democratization of code and scaling adoption, for all projects equally. Expert legal and governance support programs ensure everyone is on the same playing field.