Ethics in AI andBig Data

Ethics in AI andBig Data
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Overview

Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Big Data through real-life case studies & examples

Skills you will learn

What are the course deliverables?

Discuss business drivers for AI, as well as business and societal dynamics at work in an AI world
Discuss the key principles for building responsible AI, and learn what are the initial steps to take when planning your AI framework
Understand what ethics means and how to apply it to AI
Learn where to start, what considerations should inform your ethical framework, and what this framework should include
Review pan-industry initiatives on ethical AI
Discuss the drivers for open source to support AI
Review the technical and non-technical implications of AI

More about this course

No longer stuck in the fantasy world of science fiction, Artificial Intelligence (AI) today is a reality, and data is its fuel. It is a key component of the Fourth Industrial Revolution in which the physical, digital and biological worlds are being fused together in a way that will have a tremendous impact on our global culture and economy. While the Fourth Industrial Revolution brings along promises and opportunities, it also raises concerns about security, user privacy, data misuse, and more. People distrust artificial intelligence. It is the responsibility of business and data professionals to change that: add transparency, develop standards and share best practices to build trust and drive AI adoption
Business and data professionals today need AI frameworks and methods to achieve optimal results while also being good technology and business stewards. This course will teach you why AI and Big Data ethics is so critical and how to apply ethical and legal frameworks to initiatives in the data and analytics profession. You'll explore practical approaches to data and analytics problems posed by work in AI, Big Data, and Data Science.