Humanizing AI
Organizations around the world are hungry to capitalize on the immense potential of AI, machine learning, and deep learning. But sometimes in their haste to apply AI to solve problems, these well-meaning organizations overlook their end users.
What are the users' needs? After all, they're the people who need to interact with the AI model's output, and based on that output, might need to change behaviors, habits, workflows, or more as a result. Such "cognitive collaboration" is a new concept for most organizations to understand and apply so they can make the most of AI.
On today's show, Change Healthcare's Adam Sullivan, senior director of Artificial Intelligence, and Keith Roberts, vice president of Engagement, have a lively discussion about how AI works with humans in healthcare, and what organizations need to know to ensure collaborative collaboration works.
Here's what they hit on:
- How the precision of AI is helping reinvent engagement
- Thinking about the user and the idea of augmented decision-making
- Why gaining an empathy-based understanding of users is critical to the success of AI
- What mindset an organization needs to embrace AI
- The role of behavioral scientists
- The 400-page medical record: human vs. machine or human plus machine?
- The human implications of problem solving with AI
- Factors that affect AI program success
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