From New Jersey Business Magazine
The A.I. revolution will not be led by the engineers, at least not by themselves.
According to Brad Smith, president of Microsoft, artificial intelligence (A.I.) technology is going to be available to everyone in the future and will play an important role in virtually every discipline. Businesses and entrepreneurs are going to find new ways of using A.I. that will raise important ethical and social questions.
The A.I. revolution will not be led by the engineers, at least not by themselves.
According to Brad Smith, president of Microsoft, artificial intelligence (A.I.) technology is going to be available to everyone in the future and will play an important role in virtually every discipline. Businesses and entrepreneurs are going to find new ways of using A.I. that will raise important ethical and social questions.
“Skilling up for this future isn’t only about science, technology, engineering, and math; it’s not only about computer science and data science; it’s actually about the humanities, about the social sciences,” Smith said during an hour-long lecture at Princeton University Thursday night. “I think we’re going to see a decade from now many more people working in tech companies and many more people working on technology that come out of the liberal arts.”
For instance, greater use of A.I. makes diversity at tech companies an imperative. A.I. requires the ability to process tremendous amounts of data. If the data entered into the system is biased, the results will be as well. A.I. won’t work properly if it is developed from a flawed data sample.
Also, such bedrock principles as transparency and accountability have to be applied to artificial intelligence operations. Does that mean an A.I. system’s data set should be public, or that companies should be forced to share their algorithms in some cases? These are just a sample of the ethical questions society will need to confront.
“A.I. ethics are not just for a few people; they are for almost every part of society,” Smith said.
Read more here.
For instance, greater use of A.I. makes diversity at tech companies an imperative. A.I. requires the ability to process tremendous amounts of data. If the data entered into the system is biased, the results will be as well. A.I. won’t work properly if it is developed from a flawed data sample.
Also, such bedrock principles as transparency and accountability have to be applied to artificial intelligence operations. Does that mean an A.I. system’s data set should be public, or that companies should be forced to share their algorithms in some cases? These are just a sample of the ethical questions society will need to confront.
“A.I. ethics are not just for a few people; they are for almost every part of society,” Smith said.
Read more here.
