Category Archives: machine learning

Algorithms Need Managers, Too

Description:   Algorithms make predictions more accurate—but they also create risks of their own, especially if we do not understand them.

Source: HBR.org

Date:  Jan 1, 2016

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High-profile examples abound. When Netflix ran a million-dollar competition to develop an algorithm that could identify which movies a given user would like, teams of data scientists joined forces and produced a winner. But it was one that applied to DVDs—and as Netflix’s viewers transitioned to streaming movies, their preferences shifted in ways that didn’t match the algorithm’s predictions.

Another example comes from social media. Today many sites deploy algorithms to decide which ads and links to show users. When these algorithms focus too narrowly on maximizing user click-throughs, sites become choked with low-quality “click-bait.   Read the Rest of the Story

Questions:

1.  Discuss the pros and cons of ALGORITHMS in managing a business.

2.  List some examples of algorithm successes in business, education, or government.

 

 

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The Real Threat Posed by Powerful Computers

Description: Elon Musk called artificial intelligence “our greatest existential threat,” and equated making machines that think with “summoning the demon.”

Source: http://www.nytimes.com

Date: July 11, 2015

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But if the human race is at peril from killer robots, the problem is probably not artificial intelligence. It is more likely to be artificial stupidity. The difference between those two ideas says much about how we think about computers.

In the kind of artificial intelligence, or A.I., that most people seem to worry about, computers decide people are a bad idea, so they kill them. That is undeniably bad for the human race, but it is a potentially smart move by the computers.    Read Rest of Story

Questions for discussion:

1.Should ethical standards be put in place before we allow industry to develop A.I. any further? Why or Why Not??

2. What benefits can you see with using A.I. as a company?

3.  If your company decided on a tactic of using A.I.  would it give your firm a competitive advantage?  Explain why or why not?