Harnessing AI for Everyday Equitable Solutions with Sahar

Unlock the secrets of leveraging AI to foster equity across diverse sectors! In today's episode of AI Cafe Conversations, I'm Sahar, your AI whisperer, and I'm thrilled to guide you through the revolutionary ways AI is shaping a more equitable world. From agricultural fields to remote classrooms, discover how artificial intelligence is leveling the playing field and driving sustainable progress. Plus, stay updated with the latest industry buzz as we discuss retired US Army General Paul M. Nakasson's strategic addition to OpenAI's board, ensuring that safety and cybersecurity are paramount in AI development.

Prepare to transform your AI interactions with our practical tips and insights on effective prompt engineering and role assignment. Whether you're seeking legal advice, fitness coaching, or content writing, we'll break down how to communicate your needs clearly and optimize your AI usage. This episode is packed with valuable knowledge for both AI newcomers and seasoned users looking to enhance their experience. Don't miss out on this opportunity to harness the full potential of AI in your personal and professional life!

Transcript

Speaker 1: 0:14

Welcome back to AI Cafe Conversations, where the mix of the warmth of your favorite cafe with the transformative power of technology. I am Sahar, your AI whisperer, here to guide you through another enlightening discussion. Today, we are poring over how artificial intelligence today is not just advancing our society, but making it more equitable. As most you know, I am a dei professional, and diversity, equity and inclusion is basically part of my dna, so I will always find those points in whatever I do. So, from farms to clinics, to classrooms to remote communities, let's explore how AI is leveling the playing field across various sectors. But before we do that, I would like to take a moment to tell you the news Security Agency NSA and retired US Army General Paul M Nakasson will join its board of directors. Why should we worry about that, or what should we care about that? It's because Nakasson previously advanced the US cyber defense capability, has a wealth of experience in cybersecurity, so they really want to make sure that security and safety has the highest concern at open AI, specifically after some of the former employees claim that safety was not given the proper attention, that we are in risk using ai, and I believe doing it that way is just phenomenal. Uh, the other thing that, uh, I wanted to I said it in my last episode, but again, harvey is a new tool that you can use that lawyers use actually for legal advice and also every episode.

Speaker 1: 2:22

I like to share a few tools with you on how to use ai in general. You need to be very specific in whatever prompt you enter, which we call prompt engineering, and in two episodes ago I defined what prompt engineering is and what prompt chaining is. The way ai design is through is three different components the language, a model and a context. The language is basically, uh, how it has been human, trained to be. That's why you need to be very aware in your input to get the right output. The input is the prompts that we put, and it's not that GPT doesn't work or think, but it's about garbage in, garbage out. The second component is the model. Ai thinks in ways of concepts and models, so you share the concept or structure you want it to work within. You explain how it works as a sequence with parameters.

Speaker 1: 3:24

You need to describe it in words, in language, like a human being, like I talk to ChatGPT like, thank you for doing this, you got it great, or this is not what I want Remember what we did the last time you talk to it as your VA, as your virtual assistant, as your friend, and make sure that, before you even start using ai, to make sure that your chat gpt knows who you are. It's like onboarding your assistant and that's why you need to give it guidelines. You can even put constraints, like don't use two words when you can use one. Uh, don't use ambiguity, don't use big words, uh, don't use the letter w. I mean whatever you want you can put as a constraint. You can also ask it to reformat what it wrote in bullet points and you can ask it to bold the titles, italic the most important part in your output, and it will do that for you. So that's the models you have to give because, remember it, it doesn't have a background or context. It does not have experience, like you do. The third part is the context. The context is how it works in the business world. You need to communicate in very clear language. What you need it's context is the background story that will help AI make a decision for you. Like, we need background stories to make our decisions like. Like, for example, if you want to cook, when you cook is like how the store works. That's an idea.

Speaker 1: 4:57

Another another thing that I wanted to give you is, for example, how to ask it to do something for you. The first thing that you need to do is to assign a role for it, like as my legal advisor, as my personal uh trainer, fitness, as my chef, as my insurance agent, whatever it is. You have to define a a role for it and if you want to write a blog, you have to be very specific. So you say I want to write a blog, for that is between 900 and 1200 words. I want the sentences to be short. I want this kind of punctuation. I want you to follow my writing style, or I want you to follow hemingway right style, you know, and you need to put who your customer is. My customer is one, two, three, and this is what I do. I want to write a blog that will convince my client profile to buy my product or my service by talking about their pain points. First, you start the blog with a hook and end it with a call to action while addressing the pain, and ask it to give you 10 different blogs with 10 different titles. And if you are unclear about something, copy paste it and it will give it back to you.

Speaker 1: 6:26

This is the prompts, and now I want to start with what I started with in this episode, which is equity in AI. So let's start with agriculture. Imagine small firms in remote areas where resources are scarce and access to the latest farming techniques is limited. Here AI comes into play like a seasoned agronomist. Here AI comes into play like a seasoned agronomist. Through satellite imagery and data analytics, ai helps farmers understand soil health, predict weather patterns and optimize water usage, especially in places like remote areas in California, where sometimes we have a drought. It's about giving every farmer, not just the big players, the tools to maximize their yield and sustainability. Taking a sip of my coffee here.

Speaker 1: 7:18

Switching gears to healthcare ai's role in creating equity cannot be overstated. In underserved regions, health care resources are often very limited. This is where ai steps in, and he steps in as a force multiplier. What does that mean? Telemedicine platforms powered by ai can perform diagnostic assessment, manage patient data and even monitor chronic conditions, all from afar. This technology ensures that high quality healthcare extends beyond urban centers, reaching those who previously might have been left behind. Talk about equity right Now.

Speaker 1: 8:06

Let's talk about education In a world where learning should have no boundaries. Ai is the key to unlocking potential. Personalized learning through AI can adapt to individual student needs, pace and learning styles, and that can help us a lot with students that are on the spectrum, especially people with we're talking about neurodiversity here people with different levels of autism. We can actually tailor make these programs for them, because they are extremely intelligent. They just need a special way in handling them. It can identify areas where students struggle and provide additional resources, effectively offering a customized education to every student, not just those in well-funded school districts. Yay, yay, yay.

Speaker 1: 9:02

And what about connectivity in rural areas? Here, ai contributes to building smarter, more connected communities. By optimizing network deployments and managing resources efficiently, ai helps bring high-speed internet to remote areas. This connectivity is crucial for accessing online education, health services and economic opportunities. Equity Equity means that we need to bring everybody to an equal starting point, that sometimes we need to divide the resources that we have in an uneven way to accommodate the people that were left behind. This connectivity is crucial for ex. Like I said, accessing education services, health, truly bringing the benefits of the digital age to every single corner of the globe.

Speaker 1: 10:03

While the potential of AI is promoting equity is vast. The path isn't without its challenges. Implementing AI solutions requires infrastructure, training and ongoing support, of course, and education about ai. Moreover, we must continuously ensure that these ai systems themselves are free of biases that could perpetuate existing inequalities. So it can make it worse, and that's why we have to be very careful. But as we look at the future, the goal is clear to harness AI not just for the sake of innovation, but for the promotion of equity. This means policymakers, tech developers and communities must work together to deploy AI responsibly and, most importantly, inclusively.

Speaker 1: 10:56

So, as we finish today's cup of thoughtful discussion, consider how the AI technologies we have talked about could impact your community and beyond. How can we contribute to this mission of equitable technology deployment? Let's all be part of the conversation and part of the solution. Thank you for joining me at AI Cafe Conversations. Don't forget to subscribe, share and keep the dialogue going Until next time. Keep striving for equity, inclusion, acceptance, keep your cafe ethical and let's AI lift us all. This is Sahar Andrade. I am your AI Whisperer. I will see you next time. One, two, three, four.