AI Models & Ethical Data: What’s Trust Got to Do with It?

Learn why trustworthy data is the future of AI-powered simulations—and where to get it

“Product leaders still focus too much on technology and not enough on business value and trust”. Perhaps not the first words you’d expect from one of the leading tech research consultancies, but Gartner® knows a thing or two about artificial intelligence. In their recent Emerging Tech Impact Radar: Intelligent Simulation, the firm predicts GenAI models using simulation data “will underpin 20% of strategic business decisions by 2030, up from approximately 1% in 2024”. So, if we don’t focus on the technology, what’s left?

Advanced simulations are the next big thing in business…

Imagine the decisions you would make for your business if you could see into the future: correcting those purchasing mistakes before they happen…identifying that red-flag financial transaction to stop fraudulent activity…spotting that mechanical fault early on and not paying that costly repair fee…

Ok, so advanced simulations won’t let you see into the future. But they can help many industries—including healthcare, manufacturing, banking, insurance, telecom and retail—test scenarios to make the best decisions or optimize operations. Advanced simulations can help solve complex challenges quicker and cheaper, and all without the need for technical skills.

…but something’s missing: data

And lots of it. So much, in fact, that the real world doesn’t have enough: “The market is starting to understand the lack of adequate volumes of training data for GenAI”, says Gartner®. Synthetic data—created from real-world inputs by generative adversarial networks, for example—can help make up the slack here. But don’t get too comfortable and think you’ll soon be delegating all your business decisions to Siri’s cousin. “Build competitive advantage by carefully targeting use cases where adding advanced simulation delivers enhanced business outcomes with tangible new sources of value”, recommends Gartner®, “Don’t focus on the technology itself”.

If only there were a place you could easily get the targeted data you need…

Luckily for everyone developing an AI project there is: an AI data marketplace! Enter Defined.ai, where product leaders and AI builders can get high-quality off-the-shelf or customized datasets for training, fine-tuning and simulations. Gartner’s Impact Radar estimates a three- to six-year timeframe for AI marketplaces to reach early majority which, for all the Fast Followers out there, means getting in on the action right about…now!

But the hunger for all this data (and at the lowest prices) creates its own problems. Corners get cut; maybe the data sources are a little fuzzy, which means AI models are trained on the same databases, hindering their development. On the user side, concerns over security, data privacy and compliance with copyright laws mean businesses shy away from using AI tools altogether.

…and be sure that it was ethically-sourced and high quality

To understand what ethically-sourced AI data is and why it’s important, ask yourself these questions about the data you use:

• Do you really know where it comes from?
• Who were the people involved in creating it, and were they paid properly?
• Was it collected respecting privacy laws, and with the proper consent?

If the answer to any of them is no (or just “Um, not sure…”) then you may not be getting the most out of your foundational models. Ethically-sourced data isn’t just fairer (and legally required in some cases), it also makes business sense. More rigorous quality control means better training and improved functionality for your outputs, whether working with the information directly or using it to create synthetic data.

Defined.ai is the world’s largest ethically-sourced AI data marketplace. Our Founder and CEO Daniela Braga believes in the principles of trustworthy AI so much that she published an Ethical AI Manifesto as a framework for company decisions. “At Defined.ai, all our databases follow these rules: they are paid for, obtained with consent and anonymized, while always respecting the dignity of fair wages for everyone worldwide”, writes Daniela. “If data is the new oil, then it is imperative that we extract it responsibly”.

The revolutionary future of AI models needs responsible, high-quality data

Defined.ai focuses on trust, business value and technology, and we’re proud to be one of Gartner’s AI marketplace Sample Vendors. Without trust—in the people creating it and from the people who use it—AI cannot progress. The greatest responsibility of any AI creator is to build something that will help fulfil the technology’s promise without contributing to its challenges.

In the age of AI, where possibilities are endless, trust in the technology and its ethical application isn’t just a luxury; it’s the core of the revolution. But a revolution that forgets its makers, its artisans or its very essence is no revolution at all. – Daniela Braga, Founder & CEO, Defined.ai

Get the data you need easily, train your AI models responsibly

Defined.ai’s proprietary off-the-shelf datasets allow you quickly integrate high-quality data into your AI models and simulations. Our comprehensive data vetting process, managed by our specialized in-house legal team, means that whatever you choose:

• Full consent has been given and copyright clearance is completely secured
• Every AI annotator and creator involved has been paid fairly and treated with respect and dignity
• Data integrity, confidentiality and privacy have been protected at every stage

Maybe you’re looking for a way to structure your company’s financial data to improve your accounting system. We collected 10,000 high-resolution, fully consented images of financial transactions—including invoices and bills across healthcare, telecom and e-commerce among others—to improve your AI model’s computer vision capabilities. By training your LLM in document recognition and financial automation, it can generate insights to enhance your financial decision-making.

Or perhaps your fine tuning an AI model in the healthcare industry, where the data you train with will be used to make essential clinical decisions for patients. Human-transcribed, verified by a medical expert and tagged with classification labels, our Medical Dialogues Audio dataset gives you 2,000 hours of live doctor-patient conversations, recorded in-office or via telehealth. These annotated real-world interactions provide the accuracy and nuance you need to ensure your analytical tools provide the best health outcomes.

Already have the data you need for your AI model but need specialized help to evaluate it? At Defined.ai, we’re more than just data. We can connect you with a global network of multi-lingual subject matter experts—supported by our in-house project managers, recruiters and platform specialists—to take your model to the next level.

Download a free sample of any of our datasets or schedule a quick call with us and we’ll contact you to learn more about your needs and how we can help.

Whatever the size of your business, whatever your use case or goals, Defined.ai is your trusted partner for ethically-sourced AI data.

Disclaimer

Gartner®, Emerging Tech Impact Radar: Intelligent Simulation, By Alfonso Velosa, Ethan Cai, Evan Brown, Danielle Casey, Nick Ingelbrecht, Anushree Verma, Gaurav Gupta, Annette Zimmermann, Vibha Chitkara, Jim Hare, Sudip Pattanayak, Bill Ray, 26 November 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.