We depend more and more on AI programs in critical systems and in our lives - from military weaponry and healthcare to employment and mortgages. But what if those programs have "bugs" or errors? In this RADIO AI Episode 3.1, MIT AI research scientist, Henry Lieberman, talks about the process of building a computer program and getting it to run without bugs. He proposes the radical idea of using AI to debug our computer programming code because if we have errors in our code, it can be a safety issue. An AI system has no more bugs than a regular computer program, but the tasks we use AI for have become essential and our lives can be in the balance. Finding a bug in a computer program can be difficult. But AI is good for difficult problems….so why not use AI to debug AI?
We depend more and more on AI programs in critical systems and in our lives - from military weaponry and healthcare to employment and mortgages. But what if those programs have "bugs" or errors? In this RADIO AI Episode 3.1, MIT AI research scientist, Henry Lieberman, talks about the process of building a computer program and getting it to run without bugs. He proposes the radical idea of using AI to debug our computer programming code because if we have errors in our code, it can be a safety issue. An AI system has no more bugs than a regular computer program, but the tasks we use AI for have become essential and our lives can be in the balance. Finding a bug in a computer program can be difficult. But AI is good for difficult problems….so why not use AI to debug AI?