New Jersey will allow terminally ill patients to end their lives

Taylor Romine
CNN.com
Originally posted July 1, 2019

Terminally ill adults in New Jersey will now be able to ask for medical help to end their lives.

In April, Gov. Phil Murphy signed the Medical Aid in Dying for the Terminally Ill Act. It goes into effect Thursday.

It allows adults with a prognosis of six months or less to live to get a prescription for life-ending medication.

Other jurisdictions that allow physician-assisted suicide are: California, Colorado, Oregon, Vermont, Washington, Hawaii, Montana and the District of Columbia.

The law requires either a psychiatrist or psychologist determine that the patient has the mental capacity to make the decision. The prescription is a series of self-administered pills that can be taken at home.

"Allowing residents with terminal illnesses to make end-of-life choices for themselves is the right thing to do," Murphy said in a statement.

The info is here.

Repetition increases perceived truth equally for plausible and implausible statements

Lisa Fazio David Rand Gordon Pennycook
PsyArXiv
Originally created February 28, 2019

Abstract

Repetition increases the likelihood that a statement will be judged as true. This illusory truth effect is well-established; however, it has been argued that repetition will not affect belief in unambiguous statements. When individuals are faced with obviously true or false statements, repetition should have no impact. We report a simulation study and a preregistered experiment that investigate this idea. Contrary to many intuitions, our results suggest that belief in all statements is increased by repetition. The observed illusory truth effect is largest for ambiguous items, but this can be explained by the psychometric properties of the task, rather than an underlying psychological mechanism that blocks the impact of repetition for implausible items. Our results indicate that the illusory truth effect is highly robust and occurs across all levels of plausibility. Therefore, even highly implausible statements will become more plausible with enough repetition.

The research is here.

The conclusion:

In conclusion, our findings are consistent with the hypothesis that repetition increases belief in all statements equally, regardless of their plausibility. However, there is an important difference between this internal mechanism (equal increase across plausibility) and the observable effect. The observable effect of repetition on truth ratings is greatest for items near the midpoint of perceived truth, and small or nonexistent for items at the extremes. While repetition effects are difficult to observe for very high and very low levels of perceived truth, our results suggest that repetition increases participants’ internal representation of truth equally for all statements. These findings have large implications for daily life where people are often repeatedly exposed to both plausible and implausible falsehoods. Even implausible falsehoods may slowly become more plausible with repetition.

Personal infidelity and professional conduct in 4 settings

John M. Griffin, Samuel Kruger, and Gonzalo Maturana
PNAS first published July 30, 2019
https://doi.org/10.1073/pnas.1905329116

Abstract

We study the connection between personal and professional behavior by introducing usage of a marital infidelity website as a measure of personal conduct. Police officers and financial advisors who use the infidelity website are significantly more likely to engage in professional misconduct. Results are similar for US Securities and Exchange Commission (SEC) defendants accused of white-collar crimes, and companies with chief executive officers (CEOs) or chief financial officers (CFOs) who use the website are more than twice as likely to engage in corporate misconduct. The relation is not explained by a wide range of regional, firm, executive, and cultural variables. These findings suggest that personal and workplace behavior are closely related.

Significance

The relative importance of personal traits compared with context for predicting behavior is a long-standing issue in psychology. This debate plays out in a practical way every time an employer, voter, or other decision maker has to infer expected professional conduct based on observed personal behavior. Despite its theoretical and practical importance, there is little academic consensus on this question. We fill this void with evidence connecting personal infidelity to professional behavior in 4 different settings.

The Conclusion:

More broadly, our findings suggest that personal and professional lives are connected and cut against the common view that ethics are predominantly situational. This supports the classical view that virtues such as honesty and integrity influence a person’s thoughts and actions across diverse contexts and has potentially important implications for corporate recruiting and codes of conduct. A possible implication of our findings is that the recent focus on eliminating sexual misconduct in the workplace may have the auxiliary effect of reducing fraudulent workplace activity.

Tech Is Already Reading Your Emotions - But Do Algorithms Get It Right?

Jessica Baron
Forbes.com
Originally published July 18, 2019

From measuring shopper satisfaction to detecting signs of depression, companies are employing emotion-sensing facial recognition technology that is based on flawed science, according to a new study.

If the idea of having your face recorded and then analyzed for mood so that someone can intervene in your life sounds creepy, that’s because it is. But that hasn’t stopped companies like Walmart from promising to implement the technology to improve customer satisfaction, despite numerous challenges from ethicists and other consumer advocates.

At the end of the day, this flavor of facial recognition software probably is all about making you safer and happier – it wants to let you know if you’re angry or depressed so you can calm down or get help; it wants to see what kind of mood you’re in when you shop so it can help stores keep you as a customer; it wants to measure your mood while driving, playing video games, or just browsing the Internet to see what goods and services you might like to buy to improve your life.


The problem is – well, aside from the obvious privacy issues and general creep factor – that computers aren’t really that good at judging our moods based on the information they get from facial recognition technology. To top it off, this technology exhibits that same kind of racial bias that other AI programs do, assigning more negative emotions to black faces, for example. That’s probably because it’s based on flawed science.

The info is here.

What Alan Dershowitz taught me about morality

Molly Roberts
The Washington Post
Originally posted August 2, 2019

Here are two excerpts:

Dershowitz has been defending Donald Trump on television for years, casting himself as a warrior for due process. Now, Dershowitz is defending himself on TV, too, against accusations at the least that he knew about Epstein allegedly trafficking underage girls for sex with men, and at the worst that he was one of the men.

These cases have much in common, and they both bring me back to the classroom that day when no one around the table — not the girl who invoked Ernest Hemingway’s hedonism, nor the boy who invoked God’s commandments — seemed to know where our morality came from. Which was probably the point of the exercise.

(cut)

You can make a convoluted argument that investigations of the president constitute irresponsible congressional overreach, but contorting the Constitution is your choice, and the consequences to the country of your contortion are yours to own, too. Everyone deserves a defense, but lawyers in private practice choose their clients — and putting a particular focus on championing those Dershowitz calls the “most unpopular, most despised” requires grappling with what it means for victims when an abuser ends up with a cozy plea deal.

When the alleged abuser is your friend Jeffrey, whose case you could have avoided precisely because you have a personal relationship, that grappling is even more difficult. Maybe it’s still all worth it to keep the system from falling apart, because next time it might not be a billionaire financier who wanted to seed the human race with his DNA on the stand, but a poor teenager framed for a crime he didn’t commit.

Dershowitz once told the New York Times he regretted taking Epstein’s case. He told me, “I would do it again.”

The info is here.

Can Neuroscience Understand Free Will?

Brian Gallagher
nautil.us
Originally posted on July 19, 2019

Here is an excerpt:

Clinical neuroscientists and neurologists have identified the brain networks responsible for this sense of free will. There seems to be two: the network governing the desire to act, and the network governing the feeling of responsibility for acting. Brain-damaged patients show that these can come apart—you can have one without the other.

Lacking essentially all motivation to move or speak has a name: akinetic mutism. The researchers, lead by neurologists Michael Fox, of Harvard Medical School, and Ryan Darby, of Vanderbilt University, analyzed 28 cases of this condition, not all of them involving damage in the same departments. “We found that brain lesions that disrupt volition occur in many different locations, but fall within a single brain network, defined by connectivity to the anterior cingulate,” which has links to both the “emotional” limbic system and the “cognitive” prefrontal cortex, the researchers wrote. Feeling like you’re moving under the direction of outside forces has a name, too: alien limb syndrome. The researchers analyzed 50 cases of this condition, which again involved brain damage in different spots. “Lesions that disrupt agency also occur in many different locations, but fall within a separate network, defined by connectivity to the precuneus,” which is involved, among other things, in the experience of agency.

The results may not map onto “free will” as we understand it ethically—the ability to choose between right and wrong. “It remains unknown whether the network of brain regions we identify as related to free will for movements is the same as those important for moral decision-making, as prior studies have suggested important differences,” the researchers wrote. For instance, in a 2017 study, he and Darby analyzed many cases of brain lesions in various regions predisposing people to criminal behavior, and found that “these lesions all fall within a unique functionally connected brain network involved in moral decision making.”

The info is here.

The Case Against A.I. Controlling Our Moral Compass

Brian Gallagher
ethicalsystems.org
Originally published June 25, 2019


Here is an excerpt:

Morality, the researchers found, isn’t like any other decision space. People were averse to machines having the power to choose what to do in life and death situations—specifically in driving, legal, medical, and military contexts. This hinged on their perception of machine minds as incomplete, or lacking in agency (the capacity to reason, plan, and communicate effectively) and subjective experience (the possession of a human-like consciousness, with the ability to empathize and to feel pain and other emotions).

For example, when the researchers presented subjects with hypothetical medical and military situations—where a human or machine would decide on a surgery as well as a missile strike, and the surgery and strike succeeded—subjects still found the machine’s decision less permissible, due to its lack of agency and subjective experience relative to the human. Not having the appropriate sort of mind, it seems, disqualifies machines, in the judgement of these subjects, from making moral decisions even if they are the same decisions that a human made. Having a machine sound human, with an emotional and expressive voice, and claim to experience emotion, doesn’t help—people found a compassionate-sounding machine just as unqualified for moral choice as one that spoke robotically.

Only in certain circumstances would a machine’s moral choice trump a human’s. People preferred an expert machine’s decision over an average doctor’s, for instance, but just barely. Bigman and Gray also found that some people are willing to have machines support human moral decision-making as advisors. A substantial portion of subjects, 32 percent, were even against that, though, “demonstrating the tenacious aversion to machine moral decision-making,” the researchers wrote. The results “suggest that reducing the aversion to machine moral decision-making is not easy, and depends upon making very salient the expertise of machines and the overriding authority of humans—and even then, it still lingers.”

The info is here.

The evolution of moral cognition

Leda Cosmides, Ricardo Guzmán, and John Tooby

The Routledge Handbook of Moral Epistemology - Chapter 9

1. Introduction

Moral concepts, judgments, sentiments, and emotions pervade human social life. We consider certain actions obligatory, permitted, or forbidden, recognize when someone is entitled to a resource, and evaluate character using morally tinged concepts such as cheater, free rider, cooperative, and trustworthy. Attitudes, actions, laws, and institutions can strike us as fair, unjust, praiseworthy, or punishable: moral judgments. Morally relevant sentiments color our experiences—empathy for another’s pain, sympathy for their loss, disgust at their transgressions—and our decisions are influenced by feelings of loyalty, altruism, warmth, and compassion.  Full blown moral emotions organize our reactions—anger toward displays of disrespect, guilt over harming those we care about, gratitude for those who sacrifice on our behalf, outrage at those who harm others with impunity. A newly reinvigorated field, moral psychology, is investigating the genesis and content of these concepts, judgments, sentiments, and emotions.

This handbook reflects the field’s intellectual diversity: Moral psychology has attracted psychologists (cognitive, social, developmental), philosophers, neuroscientists, evolutionary biologists,  primatologists, economists, sociologists, anthropologists, and political scientists.

The chapter can be found here.

Social physics

Despite the vagaries of free will and circumstance, human behaviour in bulk is far more predictable than we like to imagine

Ian Stewart
www.aeon.co
Originally posted July 9, 2019

Here is an excerpt:

Polling organisations use a variety of methods to try to minimise these sources of error. Many of these methods are mathematical, but psychological and other factors also come into consideration. Most of us know of stories where polls have confidently indicated the wrong result, and it seems to be happening more often. Special factors are sometimes invoked to ‘explain’ why, such as a sudden late swing in opinion, or people deliberately lying to make the opposition think it’s going to win and become complacent. Nevertheless, when performed competently, polling has a fairly good track-record overall. It provides a useful tool for reducing uncertainty. Exit polls, where people are asked whom they voted for soon after they cast their vote, are often very accurate, giving the correct result long before the official vote count reveals it, and can’t influence the result.

Today, the term ‘social physics’ has acquired a less metaphorical meaning. Rapid progress in information technology has led to the ‘big data’ revolution, in which gigantic quantities of information can be obtained and processed. Patterns of human behaviour can be extracted from records of credit-card purchases, telephone calls and emails. Words suddenly becoming more common on social media, such as ‘demagogue’ during the 2016 US presidential election, can be clues to hot political issues.

The mathematical challenge is to find effective ways to extract meaningful patterns from masses of unstructured information, and many new methods.

The info is here.