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White Paper

AI Ethics

AI holds tremendous promise for many industries. It can improve accuracy, speed, scalability, personalization, consistency, and clarity in so many business functions.

But many businesses still hesitate to move forward with AI projects. Why? On the one hand, they know that they need to embrace AI to remain competitive. On the other hand, they fear the consequences of getting it wrong after hearing stories of high profile companies making mistakes with AI that have damaged their reputations.

In our white paper, AI Ethics, we take a deeper dive into why these fears are unfounded. We look at how to overcome common blockers to ensure that you build AI that is trustworthy and remains true to your business rules and core values.

Specifically, we dive into the four principles of AI Ethics that help people trust your AI:

  • Principle 1: Ethical Purpose -- How to make sure your AI’s actions have a net good to society.
  • Principle 2: Fairness -- Ensuring your AI’s actions avoid entrenching historical disadvantage and avoid discriminating on sensitive features.
  • Principle 3: Disclosure -- Disclosing sufficient information to an AI’s stakeholders so that they can make informed decisions.
  • Principle 4: Governance -- Where there is risk, apply high standards of governance over the design, training, deployment, and operation of AIs.
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

Vice President of Data & Analytics, FordDirect

The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI

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