PP02. Power Prompt: Uncovering Truths in AI

Greetings, Thought Leaders! Today, I aim to shed light an enlightening quest - how to reveal potential biases hidden within information from AI systems like ChatGPT, Bard, and Claude.

Building a custom AI solution remains the best approach for eliminating Bias. But keep hope - this cheat sheet can help spot potential issues in mainstream chatbots.

If a tailored model optimized for your needs sounds appealing, my team can provide that service. We train private GPT-based cloud systems specific to your use case. Just let me know if you’d like to learn more!

I have used this effectively multiple times in topics such as economics, social trendy news, politics, sustainability, religion, and artificial intelligence ethical concepts, to name a few.

Let’s go!

Why Finding Biased Information in AI Solutions Is So Relevant?

As organizations and professionals use the public version of generative AI solutions, such as ChatGPT, Bard, or Claude, for creating content for external stakeholders, thought leaders want to avoid exposure by providing content with biased information or hallucinations.

Look at the picture below and imagine this: A dashboard where each dot represents a relevant controversial topic, and the color (from violet to red) indicates the level of biased information detected by an external auditing firm.

That would be a very interesting service, but we are not there today.

So, what does the Cheat Sheet consist of?

I developed a simple method to find biased information when I started playing with these entities in December 2022 (Episode 42).

At the time, I was trying to learn about Ethical AI in connection with potential regulatory scenarios. (a.k.a. Asimov's Three Laws of Robotics).