AI for Decision Makers

Fred Hutchinson Cancer Center via Coursera

Go to Course: https://www.coursera.org/learn/ai-for-decision-makers

Syllabus

Introduction to AI for Decision Makers

This course is made up of four minicourses and describes key information regarding AI for decision makers. This first module explains the structure of the content and the motivation.

Exploring AI Possibilities

This minicourse on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges.

Avoiding AI Harm

This minicourse is intended to introduce some of the major ethical issues related to using and developing AI tools, as well as possible general mitigation strategies for those in decision making positions. It also introduces real-world examples of situations that revealed troubling ethical concerns. The course is not meant to replace legal or ethical counsel, but rather to introduce topics to help such discussions.

Determining AI Needs

This minicourse is designed to equip participants with resource and project considerations when undertaking any AI project. Participants will gain an understanding of the decision-making process between adopting pre-built AI products and constructing custom models, taking into account project complexity and customization requirements.

Developing AI Policy

This minicourse is intended to equip you with the knowledge you need to develop an effective AI policy for your organization.

Overview

This course on AI for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, Ethical considerations, and policy considerations. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business, lab, organization, or community work more efficiently, creatively, and ethically. Unique Features of this Co

Skills

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