How the algorithm change our lives
Moment, each of us look if their lives will suddenly find: the growing popularity of the era of big data technology applications algorithm, so that we do strode into the algorithm to a society full of subversive and transformative.
In the algorithm society, not only the news media, shopping recommendations, all areas of investment banking, workplace assessment, judicial, police and other intelligence have ushered in a disruptive change, even in a very intimate look for a life partner this seemingly all revel on life events, Dan Slater may also appear in the "era of love algorithms," a book depicting it: Maybe one day, science algorithm will help you select "soul mate." But, "Love in the Digital pairing" Let all encounters are no longer mysterious, era of love algorithm may be difficult to make people "until finally you" is so unforgettable.
When the algorithm is like an invisible hand began to organize our lives, a lot of people initiation anxiety and unease.
If you go look them online bookstore and algorithms related social science books, you will find such a phenomenon: a large number of books and articles describe the algorithm crisis may bring. "Discrimination algorithm" "algorithm conspiracy" "algorithm hegemony," "algorithm black box" "algorithm short-sighted" and other terms rampant, vigilant us: the arrival of the algorithm society will be accompanied by a new round of technical crisis of confidence.
Therefore, when forced to open arms to embrace the advent of social algorithm, you may wish to stop hurry, to observe the algorithm society in the end how to change our lives and ask essentially - when we fear algorithms, in the end what fear?
When we fear algorithms, in the end what fear
Today, a mainstream "Digital Youth" may already be accustomed to such a way of life: a pedometer to measure their daily activities trajectory; record their meal calorie intake with dietary APP; ring monitor their sleep with a smartphone; Like a number of points to measure friendship and contacts. ??
We should realize that when the algorithm into the social context before, and then have a "discrimination algorithm" "algorithm conspiracy" and other social problems, the algorithm first brought substantial changes in the way people self-perception.
People outside of this my real space, virtual space to build another self through digital technology. With the two worlds interoperability and connectivity, two selves continue to produce complex interaction.
On the positive level, the editor of the American magazine "Connection" Gary Wolf and Kevin Kelly put forward "quantitative self" concept, to describe the digital social phenomenon "self-awareness through self-tracking" and We are hoping to lead people into the new digital life.
In the negative aspects of digitization under the social context of self-perception might turn into a terrible scene British drama "Black Mirror" depicted: With digital social scoring system to construct a rigid, out of control of the social order, the reality of building tradition overturn the order and rules. By forming a new algorithm may cyberspace social rules completely change people's existence as a social body. Living in such a world, can only be acquired in accordance with the algorithm designer score set digitization social rules stop "performance." Thus it is accompanied by digestion lost and subjectivity of the individual self.
This phenomenon is not an alarmist. In the United States, there have been because friends on a social network platform is too small, too low to cause interactive book a room ironic case rejected on travel service website. Therefore, each of us, the algorithm appears and quickly occupy the fact that commercial and public decision-making field, first of all means that the objective digestion subjectivity of the individual. This means that, at the time of the algorithm to make decisions with the interests of the people or death, people may be in a unknown, unable to participate, "out of control" state can not dissent and ultimately irresistible.
In addition, based on the following reasons two levels, loss of choice and control over decision-making algorithm will cause more loss.
First, the technical logic, the complexity of the algorithm architecture is increasing. Although deep learning algorithms often make good decisions performance, but unable to understand the logic of its internal operations and to achieve based decision-making. At the same time, the reliability and accuracy of the algorithm is also hard to ensure that the system be reasonable mechanism design. So the algorithm decision and its application Although a strong start, but not yet established a stable and good technical confidence in the functional level.
Second, on governance logic, set to traditional reputation mechanisms (such as vocational qualification), decision-making procedural constraints (such as notices, bulletins, comments, participation, avoidance, objection, relief) as the core, designed to avoid arbitrary decisions and wanton ensure that our policies credible and legitimate institutional framework were significant failures in the face of the decision-making algorithm. This means that, from the level of governance, in the face of seemingly rational algorithm, we have yet to explore a set of effective mechanisms to establish trust in technology management level, so that the algorithm is constrained so that this feature has the characteristics of a rational algorithm.
So, when we fear algorithms, fear not "black box algorithm" (in fact, the human brain is a black box decision), it is not discrimination algorithm (the real world there are different forms of discrimination). In essence, we fear that when the algorithm efficient, systematic assistance or intelligence to make independent decisions in one; when the algorithm using data and models to the virtual world and the real world with our association, our past, now and in the future when linked with such a "link" to bring "out of control" state.
This means that out of control when we lose confidence in the algorithm technology, which means we do not want excessive dependence on the algorithm means that we are faced with complex, open, pluralistic algorithm and interact with their fear in the heart .
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We defined the root causes of fear of algorithms, helps examine and think about how to resolve a series of problems caused by algorithms applicable. After all, compared with the human decision-making, some studies have shown that: a lot of decision-making in the field of stock shares, real estate appraisal, criminal justice, human resources, performance evaluation, financial audit, the better the overall performance of the algorithm.
Because of the decision-making and decision-making bias noise, human decisions often appear excessive risk aversion, short-sighted decision-making more decisions deviation, emotional impact. I believe many people have heard of the phenomenon of "Lunch merciful moment" when the trial judge. This phenomenon, precisely because humans decisions spiritual resources along with the time changes have taken place gradually cut back consumption and, therefore leading to an objective decision-making will fluctuate at different times and conditions.
So, faced with the advent of social algorithm, how should we find "beauty Algorithms", construction safety, fair, transparent and accountable algorithm to algorithm social trust towards it?
Macro point of view, the algorithm governance is a complex and long-term project, algorithm designers, algorithm user, relative to the body needs (under different scenarios algorithm, the algorithm may be affected stakeholders), legislators, regulators , the media and other collaborative technologies to build a healthy ecological operation, and gradually establish balance individual interests and welfare of the operating environment. View from perspective, the core and the key to solving this problem lies with rich and efficient system design gives individuals the right to select and sense of control. On the implementation of the microscopic system design, legislators need to explore a series of individual giving informed when new automatic right to participate in decision-making, objection, relief should also explore the impact assessment system algorithms and algorithms from external accountability mechanisms, in order to establish the level of governance trust algorithm, discover the beauty of the algorithm.