Concerns about the dangers of artificial intelligence dominate the headlines as business and technology leaders strive to adapt to emerging technologies. But the future of AI may not play out like apocalyptic science fiction, but through the adjustment of many aspects of our daily lives.
Ravi Bapna of the University of Minnesota Carlson School of Management aims to demystify AI and give people the autonomy to shape the future of this technology.
Dr. Ravi Bapna
“Desperate and bleak reactions to artificial intelligence are over-hyped. AI’s current capabilities are primarily to augment workers rather than replace them. AI is the next general-purpose technology that will enable us to create products and products that increase well-being.As with any technology, researchers and companies need to take responsibility for AI and have appropriate guardrails in place. .
Here are some real-world examples of how AI is already improving our everyday lives.
- Richer romantic recommendations. Much like Netflix movie suggestions, machine learning is shaping connections and increasing match diversity in dating apps.
- Reducing hate speech. AI algorithms have been deployed to detect offensive language and images in real time on platforms like Nextdoor and Tinder.
- better health. By detecting otherwise undetected breast cancer cases, AI has enhanced doctors’ ability to read mammograms and saved lives in the process.
- A personalized learning journey. Large-scale language-model-based “teacher bots” such as Khan Academy’s Khanmigo can respond at scale to where students are in the middle of their learning, improving the performance of overburdened teachers. increase.
- Fair recruitment. AI can also be harnessed to create “good biases” to redress social inequalities. A responsibly designed algorithm performs an initial screening of your resume. Studies have shown that this method helps avoid bias in the hiring process and increases diversity in the workplace. “
Ravi Bapna is the Curtis L. Carlson Professor of Business Analytics and Information Systems at the Carlson School of Management and Academic Director of the Analytics for Good Institute and the Carlson Analytics Lab. He is an award-winning data scientist, with research focused on analytics, artificial intelligence and machine learning, digital transformation, social media, and the economics of information systems.
