標(biāo)題: Titlebook: Understand, Manage, and Prevent Algorithmic Bias; A Guide for Business Tobias Baer Book 2019 Tobias Baer 2019 algorithmic bias.decision bia [打印本頁] 作者: MOTE 時間: 2025-3-21 20:07
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作者: 鼓掌 時間: 2025-3-21 23:38
How Algorithms Debias Decisionsin how an algorithm works. More specifically, I will show how a . algorithm works and how it thereby can . human bias; in later chapters you then can understand more easily how algorithms can go awry (i.e., show bias)—and what the different options are for addressing this problem.作者: Guileless 時間: 2025-3-22 04:23 作者: 躺下殘殺 時間: 2025-3-22 05:58
Algorithmic Biases and Social Mediathe various biases discussed so far can interact and reinforce each other, and it illustrates how algorithmic bias can be dynamic. Rather than set in stone, the bias can develop and grow over time out of an interaction between user and algorithm—the biases of both reinforce each other until the result can be a discomfortingly strong distortion.作者: Dri727 時間: 2025-3-22 09:26
Assessing the Risk of Algorithmic Biasn many situations, algorithms make better decisions than alternative approaches: they make less errors (especially because human decisions often are even more biased) and can be both faster and cheaper. Introducing an algorithm to make decisions may come at the price of new biases, however.作者: collateral 時間: 2025-3-22 16:01
How to Use Algorithms Safelyher approaches (such as even more biased humans). This situation can be compared to a life-saving medicine with serious side-effects. Just as the doctor will try to find ways to alleviate the side-effects of a medication, in this chapter we will discuss what steps you can take to protect yourself from algorithmic bias.作者: RAG 時間: 2025-3-22 20:12
How to Detect Algorithmic Biasesers showing up in some report. Even if no bad intentions are involved, a poorly calculated or interpreted number can seriously mislead you. This chapter is a comprehensive review of how best to monitor algorithms for biases from a user’s perspective.作者: 壕溝 時間: 2025-3-22 22:08
Biases Introduced by the Algorithm Itselfst specific profiles of instances. Much of this can be considered noise, but every once in a while, such an algorithmic bias can be magnified, reinforced, or even whipped up by the context of how the algorithm is used, in which case the effect of such an algorithmic bias might grow out of proportion.作者: Salivary-Gland 時間: 2025-3-23 02:19 作者: 槍支 時間: 2025-3-23 07:43
Bias in Human Decision-Makingtanding algorithmic biases is therefore to understand human biases. And while colloquially "bias" is often deemed to be a bad thing that considerate, well-meaning people would eschew, it actually is central to the way the human brain works. The reason is that nature needs to solve for three competin作者: Amenable 時間: 2025-3-23 13:12
How Algorithms Debias Decisions the most prevalent biases are. In this chapter, aimed primarily at readers who do not have experience in building algorithms themselves, I will explain how an algorithm works. More specifically, I will show how a . algorithm works and how it thereby can . human bias; in later chapters you then can 作者: 一加就噴出 時間: 2025-3-23 15:05
The Model Development Processl in understanding the many ways biases can creep into algorithms. Also, seasoned data scientists may want to briefly glance at this chapter so that they are aware of my mental frame and terminology since I will be referencing both frequently going forward. One note on terminology: with the advent o作者: CHURL 時間: 2025-3-23 22:04 作者: 古代 時間: 2025-3-24 00:05
Data Scientists’ Biasesect data to refute them. Very often, however, there is the data required to keep biases out of the algorithm—but somehow the data scientist lets a bias slip through nevertheless. This chapter looks more closely at this cause of algorithmic bias.作者: 異教徒 時間: 2025-3-24 04:40 作者: Pelago 時間: 2025-3-24 09:24 作者: MOCK 時間: 2025-3-24 11:52
Algorithmic Biases and Social Mediathmic bias occurs: the choice of posts shown to social media users. In doing so, I achieve two objectives: this serves as a case study that shows how the various biases discussed so far can interact and reinforce each other, and it illustrates how algorithmic bias can be dynamic. Rather than set in 作者: OGLE 時間: 2025-3-24 14:51 作者: 螢火蟲 時間: 2025-3-24 20:48 作者: Chandelier 時間: 2025-3-25 01:15
How to Detect Algorithmic Biasest nicely, "99 percent of all statistics only tell 49 percent of the story." As a result, a lot of rubbish is said and done because of meaningless numbers showing up in some report. Even if no bad intentions are involved, a poorly calculated or interpreted number can seriously mislead you. This chapt作者: 安裝 時間: 2025-3-25 07:07 作者: 巨碩 時間: 2025-3-25 08:09
en techniques to effectively combat and eliminate bias.Addre.Are algorithms friend or foe?.The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel作者: Chipmunk 時間: 2025-3-25 14:12
Book 2019s from entering statistical algorithms. Baer expertly addresses someof the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anom作者: 用肘 時間: 2025-3-25 16:50 作者: 誘騙 時間: 2025-3-25 20:29 作者: granite 時間: 2025-3-26 02:20 作者: Herd-Immunity 時間: 2025-3-26 06:04
Tobias Baer facts; this service involves facilitating the diagnosis of such deviant facts. For as we have seen it makes a very big difference to know whether a phenomenon belongs to the essence of the free market economy or whether it is to be explained in terms of a structure different from the one inherent in the free market economy.作者: condone 時間: 2025-3-26 10:39 作者: 導(dǎo)師 時間: 2025-3-26 14:43 作者: GRATE 時間: 2025-3-26 19:36
of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anom978-1-4842-4884-3978-1-4842-4885-0作者: 中止 時間: 2025-3-27 00:20 作者: 歡樂東方 時間: 2025-3-27 04:55 作者: ANN 時間: 2025-3-27 06:18
e at which the total current (. ? .) in valve . becomes zero. Figure 5.2 shows how, after the firing of valve ., the current in valve . falls to zero from its original value and the current in valve ., starting from zero, correspondingly increases. The time during which both valves are conducting is measured by the overlap angle ..作者: 似少年 時間: 2025-3-27 11:56
Tobias Baer on a transmitter, you are likely to get a blank stare and a question: "Do they make those anymore?" Although receiving tubes have disappeared from the scene, power tubes are alive and well and are performing vital functions in thousands of divergent applications. Solid-state and tube technologies each have t978-1-4684-9989-6978-1-4684-9987-2作者: 暫時休息 時間: 2025-3-27 15:09
Tobias Baerindependent information on treaty-relevant behavior. Even regime secretariats that have information often fail to analyze or disseminate it in ways that facilitate regime goals. In short, the necessity for transparency has not been the mother of its invention.作者: ONYM 時間: 2025-3-27 20:07
Tobias Baerhe management of economic policies by the state..Mosca brings together contributions from a range of scholars to analyse how economists have considered the role of power, putting the discussion into a much needed historical context..978-3-030-06780-9978-3-319-94039-7Series ISSN 2662-6578 Series E-ISSN 2662-6586 作者: 抗生素 時間: 2025-3-27 21:56 作者: 配置 時間: 2025-3-28 04:49 作者: Obverse 時間: 2025-3-28 09:42
applications that work with digital signals analog techniques are still very important for a number of reasons. First the signal that must be processed or stored may be analog at the input and output of the system. Second when digital circuits must operate at high speed the analog behavior becomes 作者: 開玩笑 時間: 2025-3-28 12:03
ct current from one current path to another is called commutation and is illustrated in Fig. 5.1, in which the direct current . is to be transferred from the current path comprising valves . and . to the current path of valves . and .. When valve . fires, the short circuit shown by the heavy line is作者: 激怒某人 時間: 2025-3-28 15:44
Tobias Baer for discussion of integrated circuits, fiber optics, satellite systems, and computers. Few people would associate high technology with vacuum tubes. The notion that vacuum tube construction is more art than science may have been true 10 or 20 years ago, but today it‘s a different story. The demand 作者: 機(jī)制 時間: 2025-3-28 18:58
Tobias Baermerelevant information—is often one of the most important functions regimes perform. In many regimes, such information underpins efforts to alter state behavior and allows regime members to evaluate past progress in order to redesign the regime to perform better in the future. Yet, for all its nomin作者: 委派 時間: 2025-3-28 23:12 作者: achlorhydria 時間: 2025-3-29 05:21
Tobias Baerference to the ‘reward of power and influence that parenthood brings people.’ ‘Bringing a child into the world’ has a transformative ‘impact on one’s own life and the life of others.’ ‘Social customs and laws,’ they say, ‘a(chǎn)llow parents to exercise tremendous control over children. Parents can issue 作者: inconceivable 時間: 2025-3-29 09:12
ting in Seattle in late 1999 and in Washington, DC in spring 2000 to coincide with the IMF and World Bank Annual Meetings. I first examine the reasons for the failure of the Seattle talks, and second, evaluate the protests and their political significance. Finally, I analyze some emerging forms of p作者: 傲慢物 時間: 2025-3-29 11:37 作者: patriot 時間: 2025-3-29 19:30 作者: Conquest 時間: 2025-3-29 22:39
Tobias Baerr problem, i.e. what relates to the principle of explanation of the (economic) essence of the wage phenomenon. With regard to ‘praxis’ all that has been said is only a ‘tendency’ or, as applied to ‘practice’, only an extremely crude ‘first approximation’ which requires not only a consideration of th作者: Lucubrate 時間: 2025-3-30 00:44
Tobias Baerst St. Louis, Illinois, but when interviewed by a local newspaper reporter seventy-five years later, he still vividly recalled the moment when white rioters descended upon his family’s home on Market Street. He could still picture his father warning his frightened family, as they hid in their home, 作者: absolve 時間: 2025-3-30 06:08 作者: Neonatal 時間: 2025-3-30 08:55
Tobias Baerng. The July 1961 freeze occurred midway and contributed not only to the development of a second stage of the postwar settlement (extracted from the innate wisdom of the first), but also to the evolution of a new one, a conscious attempt to reorder the state’s priorities, and the role of government 作者: 傳授知識 時間: 2025-3-30 13:56
Tobias Baerollers are commonly used for LFC systems in power industry. But the dynamic behaviors in the presence of variations in load changes with different operating conditions are needed to be improved. This paper proposes Particle Swarm Optimization (PSO) based Load Frequency Control for improving the dyna作者: 方舟 時間: 2025-3-30 19:22 作者: 量被毀壞 時間: 2025-3-31 00:20 作者: 眨眼 時間: 2025-3-31 04:10 作者: 和藹 時間: 2025-3-31 06:00
Options for Decision-MakingIn the first two parts of this book, you learned that the mechanics of algorithms expose them to many potential sources of bias, that biases are real and at times exceedingly harmful, and that algorithmic biases very often originate in real-world biases.作者: giggle 時間: 2025-3-31 10:39
Managerial Strategies for Correcting Algorithmic BiasI still remember my shock when I interviewed a Chief Risk Officer of a bank about the key risk drivers she considered when underwriting credit, and one of the first things she said was that homosexuals are "obviously" risky (and hence should be avoided as borrowers).作者: 反叛者 時間: 2025-3-31 17:00
Tobias BaerTeaches the many sources of algorithmic bias and shows the holistic measures you can use to manage and prevent bias.Provides practical, proven techniques to effectively combat and eliminate bias.Addre作者: 宿醉 時間: 2025-3-31 18:45 作者: bronchiole 時間: 2025-3-31 22:45
Data Scientists’ Biasesect data to refute them. Very often, however, there is the data required to keep biases out of the algorithm—but somehow the data scientist lets a bias slip through nevertheless. This chapter looks more closely at this cause of algorithmic bias.
