The Future of AI Needs a Human Touch
The rapid evolution of AI technology has generated much excitement around its potential to enhance our daily lives. As a result, AI experts are having frequent conversations around the best ways to leverage AI in our society and out of this dialogue has emerged the human-centered AI approach. Human-centered AI isn’t about replacing humans with machines, but rather using machines to enhance the human experience. With human-centered AI, human input is kept at the center of the design and build process. This approach takes advantage of the strengths of both humans and machines, enabling them to collaborate in a way that mutually reduces blind spots. Human-centered AI is created with people’s wellbeing in mind, focusing on technologies that will integrate seamlessly into our lives for the purpose of bettering our overall experience. It’s a means for bridging the gap between human and machine for the benefit of both.Human-centered or Autonomous AI
We’re at a pivotal moment in AI discussions, with two approaches to how we ultimately build machine learning models. One is the human-centered approach, while the other visualizes a world of machine autonomy. In the latter, the idea is that machines can handle tasks without human intervention because they’re theoretically free from the bias that’s inherent to humans (which isn’t quite true, as it turns out, but more on that later). This approach posits that algorithms can make autonomous decisions swiftly and accurately, whereas humans don’t always think logically or quickly. Therefore, autonomous machines are more efficient. The human-centered approach to AI responds to the autonomous approach by claiming that machines can never replace key attributes of humans, for instance the full breadth of our intelligence and our creativity. Humans must reject full control by algorithms and instead take the driver’s seat in directing solutions that will complement and strengthen their lives. A human-centered approach advocates for a more effective experience between machines and humans, one that keeps the safety and health of humans in mind both development of solutions and implementation.