2 How Worried Should We Be About AI? — Demystifying the Technology, the Ethics, and the Stakes 2 How Worried Should We Be About AI? — Demystifying the Technology, the Ethics, and the Stakes

2.1 Chapter Overview 2.1 Chapter Overview

Learning Objectives for This Chapter

01  Define and explain key AI concepts including artificial intelligence, machine learning, neural networks, and large language models.
02  Evaluate whether ethical AI use is possible for a lawyer or business, and the costs of using and not using it. 
03  Write and evaluate effective prompts for GAI tools.

From: Margaret Halverson, mhalverson@theworkforcewizards.com

To: compliance@theworkforcewizards.com 

Subject: Are you sure AI Adoption is a good idea?

Hi,

At our last board meeting, executive leadership made the case for moving quickly on AI adoption — cost savings, efficiency, increasing profitability, and the fact that several major clients have asked why we're so far behind the curve. The board was largely in favor. I didn't push back, but I should have, and I want to be better prepared next time.

I also chair the Friends board for the Linden Public Library, and through that work I've gotten an earful about the harder questions — training data, environmental impact, displacement of workers. My daughter is helping lead a group in town protesting a new data center going up off the highway, and while she's more leftie than I am, she's made some great points. It seems like every day there's some new story about AI getting something badly wrong, and the backlash is real. I've also heard from my son, the lawyer, that his firm is getting more and more data breach letters related to AI misuse. 

I'm all for saving money, but not at the cost of a hit to our reputation. The core question I keep coming back to is this: is there a way to do this ethically, or are we kidding ourselves?

Thanks,

Margaret Halverson

Board of Directors, Workforce Wizards

Chair, Friends of the Linden Public Library

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If 

2.2 Demystifying AI Technology 2.2 Demystifying AI Technology

2.3 AI Ethics 101 2.3 AI Ethics 101

2.4 Prompt Engineering 2.4 Prompt Engineering