Responsible AI: Principles and Practice
Learn to apply responsible AI principles in business. Discover Google's approach, ethical considerations, and framework for implementation.
Learn to apply responsible AI principles in business. Discover Google's approach, ethical considerations, and framework for implementation.
This course explores the critical importance of responsible AI development in business. It covers Google's approach to responsible AI, including their AI principles and how they were developed. You'll learn to identify ethical considerations in AI, especially with emerging technologies like generative AI. The course provides practical insights on operationalizing responsible AI principles, organizing and conducting reviews, and identifying potential ethical issues. You'll discover how to build a business case for responsible AI and learn from Google's experiences and best practices. By the end of the course, you'll have a framework for implementing responsible AI in your organization.
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What you'll learn
Discover the steps to progress towards responsible AI
Identify ethical considerations in AI by applying best practices for problem spotting
Describe how Google developed and applied its AI principles, and leverage lessons learned
Establish a framework for operationalizing responsible AI in your organization
Understand the business case for responsible AI innovation
Learn how to conduct AI reviews and governance processes
Skills you'll gain
This course includes:
103 Minutes PreRecorded video
1 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This course provides a comprehensive overview of responsible AI principles and their practical application in business settings. It covers Google's approach to responsible AI, including the development and implementation of AI principles. Learners will explore ethical considerations in AI, with a focus on emerging technologies like generative AI. The course offers practical guidance on operationalizing responsible AI, including organizing and conducting reviews, and identifying potential ethical issues. It also covers building a business case for responsible AI and shares lessons learned from Google's experiences. By the end of the course, participants will have a framework for implementing responsible AI in their organizations and be equipped to navigate the ethical challenges of AI development and deployment.
Introduction
Module 1 · 14 Minutes to complete
Intérêt de l'IA responsable pour les entreprises
Module 2 · 14 Minutes to complete
Considérations techniques et questions éthiques liées à l'IA
Module 3 · 15 Minutes to complete
Élaboration des principes concernant l'IA
Module 4 · 21 Minutes to complete
Opérationnalisation des principes concernant l'IA : organiser et réaliser des examens
Module 5 · 21 Minutes to complete
Opérationnalisation des principes concernant l'IA : repérage des problèmes et enseignements tirés
Module 6 · 17 Minutes to complete
Progresser vers l'IA responsable
Module 7 · 14 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
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