Leadership Takes Self-Control. Here’s What We Know About It

Kai Chi (Sam) Yam, Huiwen Lian, D. Lance Ferris, Douglas Brown
Harvard Business Review
Originally published June 5, 2017

Here is an excerpt:

Our review identified a few consequences that are consistently linked to having lower self-control at work:

1. Increased unethical/deviant behavior: Studies have found that when self-control resources are low, nurses are more likely to be rude to patients, tax accountants are more likely to engage in fraud, and employees in general engage in various forms of unethical behavior, such as lying to their supervisors, stealing office supplies, and so on.
2. Decreased prosocial behavior: Depleted self-control makes employees less likely to speak up if they see problems at work, less likely to help fellow employees, and less likely to engage in corporate volunteerism.
3. Reduced job performance: Lower self-control can lead employees to spend less time on difficult tasks, exert less effort at work, be more distracted (e.g., surfing the internet in working time), and generally perform worse than they would had their self-control been normal.
4. Negative leadership styles: Perhaps what’s most concerning is that leaders with lower self-control often exhibit counter-productive leadership styles. They are more likely to verbally abuse their followers (rather than using positive means to motivate them), more likely to build weak relationships with their followers, and they are less charismatic. Scholars have estimated that the cost to corporations in the United States for such a negative and abusive behavior is at $23.8 billion annually.

Our review makes clear that helping employees maintain self-control is an important task if organizations want to be more effective and ethical. Fortunately, we identified three key factors that can help leaders foster self-control among employees and mitigate the negative effects of losing self-control.

The article is here.

Biased Algorithms Are Everywhere, and No One Seems to Care

Will Knight
MIT News
Originally published July 12, 2017

Here is an excerpt:

Algorithmic bias is shaping up to be a major societal issue at a critical moment in the evolution of machine learning and AI. If the bias lurking inside the algorithms that make ever-more-important decisions goes unrecognized and unchecked, it could have serious negative consequences, especially for poorer communities and minorities. The eventual outcry might also stymie the progress of an incredibly useful technology (see “Inspecting Algorithms for Bias”).

Algorithms that may conceal hidden biases are already routinely used to make vital financial and legal decisions. Proprietary algorithms are used to decide, for instance, who gets a job interview, who gets granted parole, and who gets a loan.

The founders of the new AI Now Initiative, Kate Crawford, a researcher at Microsoft, and Meredith Whittaker, a researcher at Google, say bias may exist in all sorts of services and products.

“It’s still early days for understanding algorithmic bias,” Crawford and Whittaker said in an e-mail. “Just this year we’ve seen more systems that have issues, and these are just the ones that have been investigated.”

Examples of algorithmic bias that have come to light lately, they say, include flawed and misrepresentative systems used to rank teachers, and gender-biased models for natural language processing.

The article is here.

Better Minds, Better Morals: A Procedural Guide to Better Judgment

G. Owen Schaefer and Julian Savulescu
Journal of Posthuman Studies
Vol. 1, No. 1, Journal of Posthuman Studies (2017), pp. 26-43

Abstract:

Making more moral decisions – an uncontroversial goal, if ever there was one. But how to go about it? In this article, we offer a practical guide on ways to promote good judgment in our personal and professional lives. We will do this not by outlining what the good life consists in or which values we should accept. Rather, we offer a theory of  procedural reliability : a set of dimensions of thought that are generally conducive to good moral reasoning. At the end of the day, we all have to decide for ourselves what is good and bad, right and wrong. The best way to ensure we make the right choices is to ensure the procedures we’re employing are sound and reliable. We identify four broad categories of judgment to be targeted – cognitive, self-management, motivational and interpersonal. Specific factors within each category are further delineated, with a total of 14 factors to be discussed. For each, we will go through the reasons it generally leads to more morally reliable decision-making, how various thinkers have historically addressed the topic, and the insights of recent research that can offer new ways to promote good reasoning. The result is a wide-ranging survey that contains practical advice on how to make better choices. Finally, we relate this to the project of transhumanism and prudential decision-making. We argue that transhumans will employ better moral procedures like these. We also argue that the same virtues will enable us to take better control of our own lives, enhancing our responsibility and enabling us to lead better lives from the prudential perspective.

A copy of the article is here.

Google Sets Limits on Addiction Treatment Ads, Citing Safety

Michael Corkery
The New York Times
Originally published September 14, 2017

As drug addiction soars in the United States, a booming business of rehab centers has sprung up to treat the problem. And when drug addicts and their families search for help, they often turn to Google.

But prosecutors and health advocates have warned that many online searches are leading addicts to click on ads for rehab centers that are unfit to help them or, in some cases, endangering their lives.

This week, Google acknowledged the problem — and started restricting ads that come up when someone searches for addiction treatment on its site. “We found a number of misleading experiences among rehabilitation treatment centers that led to our decision,” Google spokeswoman Elisa Greene said in a statement on Thursday.

Google has taken similar steps to restrict advertisements only a few times before. Last year it limited ads for payday lenders, and in the past it created a verification system for locksmiths to prevent fraud.

In this case, the restrictions will limit a popular marketing tool in the $35 billion addiction treatment business, affecting thousands of small-time operators.

The article is here.

VA About To Scrap Ethics Law That Helps Safeguards Veterans From Predatory For-Profit Colleges

Adam Linehan
Task and Purpose
Originally posted October 2, 2017

An ethics law that prohibits Department of Veterans Affairs employees from receiving money or owning a stake in for-profit colleges that rake in millions in G.I. Bill tuition has “illogical and unintended consequences,” according to VA, which is pushing to suspend the 50-year-old statute.

But veteran advocacy groups say suspending the law would make it easier for the for-profit education industry to exploit its biggest cash cow: veterans. 

In a proposal published in the Federal Register on Sept. 14, VA claims that the statute — which, according to The New York Times, was enacted following a string of scandals involving the for-profit education industry — is redundant due to the other conflict-of-interest laws that apply to all federal employees and provide sufficient safeguards.

Critics of the proposal, however, say that the statute provides additional regulations that protect against abuse and provide more transparency. 

“The statute is one of many important bipartisan reforms Congress implemented to protect G.I. Bill benefits from waste, fraud, and abuse,” William Hubbard, Student Veterans of America’s vice president of government affairs, said in an email to Task & Purpose. “A thoughtful and robust public conservation should be had to ensure that the interests of student veterans is the top of the priority list.”

The article is here.

Editor's Note: The swamp continues to grow under the current administration.

Facts Don’t Change People’s Minds. Here’s What Does

Ozan Varol
Helio
Originally posted September 6, 2017

Here is an excerpt:

The mind doesn’t follow the facts. Facts, as John Adams put it, are stubborn things, but our minds are even more stubborn. Doubt isn’t always resolved in the face of facts for even the most enlightened among us, however credible and convincing those facts might be.

As a result of the well-documented confirmation bias, we tend to undervalue evidence that contradicts our beliefs and overvalue evidence that confirms them. We filter out inconvenient truths and arguments on the opposing side. As a result, our opinions solidify, and it becomes increasingly harder to disrupt established patterns of thinking.

We believe in alternative facts if they support our pre-existing beliefs. Aggressively mediocre corporate executives remain in office because we interpret the evidence to confirm the accuracy of our initial hiring decision. Doctors continue to preach the ills of dietary fat despite emerging research to the contrary.

If you have any doubts about the power of the confirmation bias, think back to the last time you Googled a question. Did you meticulously read each link to get a broad objective picture? Or did you simply skim through the links looking for the page that confirms what you already believed was true? And let’s face it, you’ll always find that page, especially if you’re willing to click through to Page 12 on the Google search results.

The article is here.

Cooperation in the Finitely Repeated Prisoner’s Dilemma

Matthew Embrey  Guillaume R. Fréchette  Sevgi Yuksel
The Quarterly Journal of Economics
Published: 26 August 2017

Abstract

More than half a century after the first experiment on the finitely repeated prisoner’s dilemma, evidence on whether cooperation decreases with experience–as suggested by backward induction–remains inconclusive. This paper provides a meta-analysis of prior experimental research and reports the results of a new experiment to elucidate how cooperation varies with the environment in this canonical game. We describe forces that affect initial play (formation of cooperation) and unraveling (breakdown of cooperation). First, contrary to the backward induction prediction, the parameters of the repeated game have a significant effect on initial cooperation. We identify how these parameters impact the value of cooperation–as captured by the size of the basin of attraction of Always Defect–to account for an important part of this effect. Second, despite these initial differences, the evolution of behavior is consistent with the unraveling logic of backward induction for all parameter combinations. Importantly, despite the seemingly contradictory results across studies, this paper establishes a systematic pattern of behavior: subjects converge to use threshold strategies that conditionally cooperate until a threshold round; and conditional on establishing cooperation, the first defection round moves earlier with experience. Simulation results generated from a learning model estimated at the subject level provide insights into the long-term dynamics and the forces that slow down the unraveling of cooperation.

The paper is here.

The Role of a “Common Is Moral” Heuristic in the Stability and Change of Moral Norms

Lindström, B., Jangard, S., Selbing, I., & Olsson, A. (2017).
Journal of Experimental Psychology: General.

Abstract

Moral norms are fundamental for virtually all social interactions, including cooperation. Moral norms develop and change, but the mechanisms underlying when, and how, such changes occur are not well-described by theories of moral psychology. We tested, and confirmed, the hypothesis that the commonness of an observed behavior consistently influences its moral status, which we refer to as the common is moral (CIM) heuristic. In 9 experiments, we used an experimental model of dynamic social interaction that manipulated the commonness of altruistic and selfish behaviors to examine the change of peoples’ moral judgments. We found that both altruistic and selfish behaviors were judged as more moral, and less deserving of punishment, when common than when rare, which could be explained by a classical formal model (social impact theory) of behavioral conformity. Furthermore, judgments of common versus rare behaviors were faster, indicating that they were computationally more efficient. Finally, we used agent-based computer simulations to investigate the endogenous population dynamics predicted to emerge if individuals use the CIM heuristic, and found that the CIM heuristic is sufficient for producing 2 hallmarks of real moral norms; stability and sudden changes. Our results demonstrate that commonness shapes our moral psychology through mechanisms similar to behavioral conformity with wide implications for understanding the stability and change of moral norms.

The article is here.

Future Frankensteins: The Ethics of Genetic Intervention

Philip Kitcher

Los Angeles Review of Books

Originally posted September 4, 2017

Here is an excerpt:

The more serious argument perceives risks involved in germline interventions. Human knowledge is partial, and so perhaps we will fail to recognize some dire consequence of eliminating a particular sequence from the genomes of all members of our species. Of course, it is very hard to envisage what might go wrong — in the course of human evolution, many DNA sequences have arisen and disappeared. Moreover, in this instance, assuming a version of CRISPR-Cas9 sufficiently reliable to use on human beings, we could presumably undo whatever damage we had done. But, a skeptic may inquire, why take any risk at all? Surely somatic interventions will suffice. No need to tamper with the germline, since we can always modify the bodies of the unfortunate people afflicted with troublesome sequences.

Doudna and Sternberg point out, in a different context, one reason why this argument fails: some genes associated with disease act too early in development (in utero, for example). There is a second reason for failure. In a world in which people are regularly rescued through somatic interventions, the percentage of later generations carrying problematic sequences is likely to increase, with the consequence that ever more resources would have to be devoted to editing the genomes of individuals.  Human well-being might be more effectively promoted through a program of germline intervention, freeing those resources to help those who suffer in other ways. Once again, allowing editing of eggs and sperm seems to be the path of compassion. (The problems could be mitigated if genetic testing and in vitro fertilization were widely available and widely used, leaving somatic interventions as a last resort for those who slipped through the cracks. But extensive medical resources would still be required, and encouraging — or demanding — pre-natal testing and use of IVF would introduce a problematic and invasive form of eugenics.)

The article is here.