If our emerging technologies merge humans with machines and use artificial intelligence to enhance our human intelligence, then we need to manage risk! The risk of being isolated by information, the risk of losing conversation arts, and convincing ourselves that we are preconceived (right Again very good) the risk of prejudice.
If we are to use machines to enhance human capabilities, then we need to do it in a way that will not make mistakes in the past.
In the article “Integration with Machinesâ€, I emphasized how exponentially accelerated development of science and technology and the emphasis on science and technology to enhance human capabilities are driving us to start integrating with machines to move toward the future.
In fact, as I pointed out, we have been able to get a boost through smart phones, and perhaps you may be reading this article on your mobile phone. This may lead to major changes in our time, whether positive or negative.
Technicians are often natural optimists, but this is also an essential feature for achieving innovation. Otherwise, the "quick failure" model of innovation will soon lead innovators to give up and begin a new career! The danger is that if all our technical staff are optimists, then who will think about introducing new technologies? What is the negative effect?
Given our current news coverage, some of these potential negative effects are now becoming clearer. (Think about Zuckerberg's situation in the Senate.) In this blog, I tried to explain some of the larger advantages and disadvantages that we have in the process of rapidly advancing social progress.
In my opinion, there are four major categories of advantages and disadvantages. Let's take a look at the content listed below.
1. Systematic decision/prejudice
A well-designed system can help us to eliminate prejudice and promote our social pluralism. For example, a resume screening tool can remove names to prevent unintentional bias from entering the candidate group. The danger is that our current database and technology have been greatly affected by prejudice. Our male-dominated technology area has developed many such tools.
At the Nerve Information Processing System meeting, 90% of the papers were written by men. If we use biased data to train our machine learning artificial intelligence, then we get biased artificial intelligence. Typical useless data input then useless data output causes problems. Prejudice is usually unconscious, or is due to some historical reasons, forming a preconceived notion, and has formed social norms. There are some simple examples in our virtual assistant. Most people use women's voice by default. This further exacerbates stereotypes of gender bias, that is, assistants are often women. We need to work hard to ensure that our training robot data, as well as the voice interface we have deployed and even the name of the selected robot, will not continue to spread gender bias.
2. Free access to information/filter bubbles
People think that the Internet will flatten the world. Thomas Friedman's book The World is Flat discusses how the emergence of global communications, such as the Internet, has enabled the submission of intellectual property around the world. However, with the advent of social media algorithms, it will provide you with information you like. More and more people live in a “filter bubble†environment, which deepens their own prejudices. It even reinforces things that are not true in fact. Our world is not flat, but a sphere. This is a well-documented fact.
However, on the Internet, if you think that the world is completely flat, then you will suddenly find that (in more than a few billion Internet users) thousands of people agree with your point of view. These algorithms can provide you with more and more data to help you reinforce these misconceptions because you like to read this newly discovered “factâ€. Therefore, the world is flat in the digital environment, but it is not. Freedom of information is helpful, but it can also be false because it allows lies to have equal status with the truth.
3. Equality/Inequality
People want technology to provide opportunities for more people, and we see a number of start-up companies appearing around the globe. For example, technology enables African farmers to understand the market price of their goods so as not to be swayed by larger and more informed buyers. Sheryl Sandberg, chief operating officer of Facebook, said: “If we can reach more people with the Internet, then we will have more voices... we will increase Economic opportunities ... and we will increase equality." This is a promising prospect.
At the same time, people are worried that economic inequality may further intensify, thus depriving a socioeconomic class of its ability to benefit from technology. The British "Financial Times" said: "Silicon Valley is afraid of being embarrassed... Sacrificing everyone's interests in order to prosper." Whether Silicon Valley's wealth belongs only to a few people or whether technology can create a more equitable and fairer world What?
4. Social contact/social isolation
We have all seen families or couples or friends who lost their conversation art in the restaurant. Instead, they are staring at their mobile phones. Communicate silently by typing text with some completely different and unconnected friends. Social media can help us connect with old friends who may live in the distance, allowing grandparents to see photos of new grandchildren thousands of miles away, but it also brings loneliness and loss of social pleasure. First of all, I don't want to make the prediction made by Gartner a reality. By 2020, people will talk more with their digital assistants than talk with their spouse.
In short, if our emerging technologies blend humans with machines and use artificial intelligence to enhance our human intelligence, then we need to manage risk! The risk of being segregated by information, the risk of losing the art of conversation, and convincing ourselves that we are preconceived ( The risk of prejudice is both correct and very good.
The value that technology brings to the world is worth the risk. After all, I am an optimistic technician. But we need to ensure that we bring different skills and perspectives to the development of this new field. Otherwise, in a world that is only accelerating every day, we will accelerate into the future of an anti-utopia (as many books and programs show... just look at the episode "Black Mirror"), and Instead of entering a future where human capabilities are enhanced, the world is better for everyone, not just for a few people, or for machines.
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