Responsible Use of AI Toolkit

IN COLLABORATION WITH

TOOLKIT CONTENTS

Foundations

Introduction to Responsible Use of AI

Foundation

Responsible Prompting

Foundation

Evaluation of Results

Foundation

Prompting Techniques

Analyze Answers to Detect Bias

Technique

Consider the Consequences

Technique

Ensure Cultural Sensitivity

Technique

Explain Your Reasoning

Technique

Foster Inclusive Language

Technique

Highlight Uncertainties and Limitations

Technique

Promote Ethical Alternatives

Technique

Provide Multiple Perspectives

Technique

Applied Use Guides

Entertainment: AI in Content Creation

Applied Use Guide

Retail: AI in Customer Insights

Applied Use Guide

Sales: AI-Driven Sales Strategies

Applied Use Guide

HR: AI in Employee Engagement

Applied Use Guide

Customer Support: AI for Enhanced Service

Applied Use Guide

Legal: AI for Legal Research and Analysis

Applied Use Guide

Education (K12): AI in Personalized Learning

Applied Use Guide

Marketing: Ethical AI in Campaigns

Applied Use Guide

HR: Responsible AI in Recruitment

Applied Use Guide

Case Studies

Case Study: Ethical Marketing (Dove)

Case Study

Case Study: Responsible Customer Service (Amazon)

Case Study

Case Study: Responsible AI Use in Healthcare (IBM Watson)

Case Study

Note: Responsible Use of AI is a dynamic concept. It continuously evolves, and we invite you to contribute, improve, and expand its content and ideas. If you're interested in participating, please email us at responsibleuseofai@founderz.com so we can publish your contributions.