Combining Human and Machine Intelligence

 Broadly a Good Idea

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Justin Swansburg, DataRobot: On combining human and machine intelligence

By Ryan Daws | October 4, 2022 | TechForge Media

Categories: Artificial Intelligence, Enterprise, Ethics & Society,

Advancements in AI are providing transformational benefits to enterprises, but keeping risks in check and improving consumer sentiment is paramount.

Explainable AI (XAI) is the idea that an AI should always provide reasoning for its decisions in a way that makes it easy for humans to comprehend. XAI helps to build trust and ensures that issues can be more quickly identified before they cause wider damage.

AI News caught up with Justin Swansburg, VP of Americas Data Science Practice at DataRobot, to discuss how the company is driving AI adoption using concepts like XAI to combine the strengths of human and machine intelligence.

AI News: Can you give us a brief overview of DataRobot’s core solutions?

Justin Swansburg: DataRobot’s AI Cloud platform is uniquely built to democratise and accelerate the use of AI while delivering critical insights that drive clear business results. 

DataRobot helps organisations across industries harness the transformational power of AI, from restoring supply chain resiliency to accelerating the treatment and prevention of disease and enhancing patient care to combating the climate crisis.

As one of the most widely deployed and proven AI platforms in the market today, DataRobot AI Cloud brings together a broad range of data, giving businesses comprehensive insights to drive revenue growth, manage operations, and reduce risk.

DataRobot has delivered over 1.4 trillion predictions for customers around the world, including the U.S. Army, CBS Interactive, and CVS.

AN: What is “augmented intelligence” and how does it differ from artificial intelligence?

JS: Artificial intelligence and augmented intelligence share the same objective but have different ways of accomplishing it.

Augmented intelligence brings together qualities of human intuition and experience with the efficiency and power of machine learning. Whereas artificial intelligence is often used as a replacement or substitute for human processes and decision-making.

AN: Do you need machine learning or programming experience to build predictive analytics with DataRobot?  

JS: DataRobot is a unified platform designed to democratise and accelerate the use of AI. This means that anyone in an organisation – with or without specialist knowledge of AI – can use DataRobot to build, deploy, and manage AI applications to transform their products, services, and operations.

AN: How does DataRobot support the idea of explainable AI and why is that important?

JS: DataRobot Explainable AI helps organisations understand the behaviour of models and gain confidence in their results. When AI is not transparent, it can be difficult to trust the system and translate insights and predictions into business outcomes.

With Explainable AI, users can easily understand the model inputs while bridging the gap between development and actionable results.  ... '