In the article, Let’s Stop Freaking Out About Artificial Intelligence, Eric Schmidt and Sebastian Thrun support the use of artificial intelligence (A.I.) and motivate the audience to accept the growth of artificial intelligence and to not be afraid of how technology will affect people’s daily lives. Schmidt and Thrun compare humanity’s way of learning to self-driving cars’ by stating, “[humans] rarely learn from mistakes of others” and “these cars can learn faster than people” (Par. 3). This juxtaposition shows a benefit from technology that eventually self-driving cars, as a whole, will be able to adjust to every problem on the road one car faces. However, this doesn’t apply only to cars. Together, all AIs can learn from each other’s discoveries
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Instead, AI can replace work that is deemed dangerous and can overturn productivity for humans. Firstly, AI learns and evolved differently. An example is that Artificial intelligence’s brain works as a whole instead of being many individual brains. Using the self-driving car example, “when one of the self-driving cars makes an error, all of the self-driving cars learn from it”(Par.4) There is no need to reprogram every individual AI in order to be updated like how you must spread the news to every human being. However, AI can not be programmed to be creative for disruptive innovations. It’s called self-driving cars because it’s the cars’ sole purpose. The AI is programmed with tunnel vision. Secondly, AI is incredibly useful as it can assist or completely take over tasks that humans assume is tedious or stupid, but this could lead to AIs taking over jobs. The human population is continuously growing and with the lack of jobs, there will be a lack of money for the people. If people instead use technology to gain a “much deeper understanding” (par 6), companies can improve human productivity instead of replacing humans altogether. As a solution, use AI to replace deadly jobs and only assist jobs in demand to enhance work production. Human mistakes can lead to injuries and death because humans are very fragile. Machinery can last a much longer time and no one would freak out to the destruction of an A.I. if it doesn’t affect the human body directly. Companies shouldn’t use robots to take over work that is tedious but to cover humans on work too dangerous for the human body. In Schmidt and Thrun’s article, it is mentioned that “Standford’s AI Lab and IBM’s Watson diagnose certain types of cancer more accurately than human physicians”(Par 2). Physicians are always in demand for they can save and
Instead, AI can replace work that is deemed dangerous and can overturn productivity for humans. Firstly, AI learns and evolved differently. An example is that Artificial intelligence’s brain works as a whole instead of being many individual brains. Using the self-driving car example, “when one of the self-driving cars makes an error, all of the self-driving cars learn from it”(Par.4) There is no need to reprogram every individual AI in order to be updated like how you must spread the news to every human being. However, AI can not be programmed to be creative for disruptive innovations. It’s called self-driving cars because it’s the cars’ sole purpose. The AI is programmed with tunnel vision. Secondly, AI is incredibly useful as it can assist or completely take over tasks that humans assume is tedious or stupid, but this could lead to AIs taking over jobs. The human population is continuously growing and with the lack of jobs, there will be a lack of money for the people. If people instead use technology to gain a “much deeper understanding” (par 6), companies can improve human productivity instead of replacing humans altogether. As a solution, use AI to replace deadly jobs and only assist jobs in demand to enhance work production. Human mistakes can lead to injuries and death because humans are very fragile. Machinery can last a much longer time and no one would freak out to the destruction of an A.I. if it doesn’t affect the human body directly. Companies shouldn’t use robots to take over work that is tedious but to cover humans on work too dangerous for the human body. In Schmidt and Thrun’s article, it is mentioned that “Standford’s AI Lab and IBM’s Watson diagnose certain types of cancer more accurately than human physicians”(Par 2). Physicians are always in demand for they can save and