Eknath Shinde’s luggage was being checked at the Palghar police ground helipad as part of Standard Operating Procedures (SOPs)

The November contract can decline to ₹255

Kyra Wilson, Aylin Caliskan, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, Nov 13, 2024

The topic of AI-based recruitment and hiring has been discussed here before and research continues apace. This item (13 page PDF), despite the characterization in GeekWire, is a fairly narrow study. It looks at three text-embedding models based on Mistral-7B-v0.1, and tests for gender and racial bias on applications containing name and position only, and name and position and some content (the paper discusses removing the name but does do it). The interesting bit is that intersectional bias (ie., combining gender and race) is not merely a combination of the separate biases; while separate biases exaggerated the discrimination, "intersectional results, on the other hand, do correspond more strongly to real-world discrimination in resume screening." Via Lisa Marie Blaschke, who in turn credits Audrey Watters.

Welcoming the Christ Child: Family Readings for the Nativity Lent, "Tobit and Tobias and The Prophet Isaiah," by Elissa Bjeletich, illustrated by Jelena Jeftic (Sebastian Press, 2017).

In this article, we have attempted to study the ways in which the COVID-19 pandemic has gradually increased and impacted the world. The authors integrate the knowledge from cognitive psychology literature to illustrate how the limitations of the human mind might have a critical role in the decisions taken during the COVID-19 pandemic. The authors show the correlation between different biases in various contexts involved in the COVID-19 pandemic and highlight the ways in which we can nudge ourselves and various stakeholders involved in the decision-making process. This study uses a typology of biases to examine how different patterns of biases affect the decision-making behaviour of people during the pandemic. The presented model investigates the potential interrelations among environmental transformations, cognitive biases, and strategic decisions. By referring to cognitive biases, our model also helps to understand why the same performance improvement practices might incite different opinions among decision-makers.

Accumulated knowledge on organizational justice leaves little reason to doubt the notion that organizational members benefit when leaders adhere to interpersonal justice rules. However, upon considering how justice behaviors influence subordinates' cognitive processes, we predict that interpersonal justice has a surprising, unintended negative consequence. Supervisors who violate interpersonal justice rules trigger subordinates to search for reasons why their supervisors are threatening them, causing subordinates to be more attuned to supervisors' individual characteristics and therefore unlikely to use stereotypes when evaluating them. In contrast, supervisors who adhere to interpersonal justice rules allow subordinates to divert attention away from them, leading subordinates' judgments of their supervisors to be influenced by stereotypes. Consistent with these predictions, in a survey we found that minority supervisors faced bias relative to Caucasian supervisors when supervisors adhered to—but not when they violated—interpersonal justice rules. We replicated this effect in an experiment and established that it is explained by an alternating pattern of stereotype activation and inhibition: participants viewed minority supervisors to be more deceitful than Caucasians when supervisors adhered to—but not when they violated—interpersonal justice rules. We then conducted exploratory analyses and identified one factor (unit size) that mitigates this troubling pattern.

Former NFL player-turned-celebrity chef Tobias Dorzon was hospitalized this week after he was shot during a stickup in Prince George's County.

Science for Environment Policy features a policy brief explaining the biases around biodiversity databases in their latest issue 331, from 6 June 2013. "Biodiversity databases: language and location help explain biases" features a new study arguing that low numbers of English speakers, large distances from the database host and low security acting as key barriers to data collection and among the main reasons for the underrepresentation of some countries in biodiversity databases.

Source: Amano T., Sutherland W.J. (2013) Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security. Proceedings of the Royal Society B. 280: 20122649. doi: 10.1098/rspb.2012.2649

Too many central stations consider video to be a particularly complex operation, which in turn bogs them down with execution delays while others take market share. Follow these five approaches to seize the moment.

Chicago — Physicians contracted by mine operators to review chest X-rays of coal miners who file “totally debilitating disease” workers’ compensation claims with the Department of Labor’s Federal Black Lung Program may have a bias strongly related to financial conflict of interest, researchers at the University of Illinois at Chicago suggest.

Children's Geographies; 10/01/2023
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The post Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier was curated by information for practice.

Accurate reporting of outcomes is crucial for interpreting the results of randomized controlled trials (RCTs). However, selectively reporting outcomes in publications to achieve researchers’ anticipated result… Read the full article ›

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Applied Psychological Measurement, Ahead of Print. Test-retest reliability is often estimated using naturally occurring data from test repeaters. In settings such as admissions testing, test takers choose if and when to retake an assessment. This self-selection can bias estimates of test-retest reliability because individuals who choose to retest are typically unrepresentative of the broader testing […]

The post Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects was curated by information for practice.

A number of strategies used by the police to proactively prevent crimes have proved to be successful at crime reduction, at least in the short term, and most strategies do not harm communities’ attitudes toward police, finds a new report by the National Academies of Sciences, Engineering, and Medicine.

We tend to think of the process of seeing as fairly objective — that our eyes are similar to cameras, neutrally taking in light and turning it into pictures. But research has shown that biases buried beneath our awareness can powerfully shape how we see.

In 2010 a group of researchers conducted an experiment in which they pretended to be students, emailing 6,500 professors in nearly 90 academic fields at 259 universities with a request to discuss research before applying for a doctoral program. The text of the messages was identical, but the sender’s name was varied to signal race and gender, such as Brad Anderson, Latoya Brown, and Mei Chen.

Research continues to reveal more about the nature and impacts of implicit bias — something hidden from our direct awareness that causes tangible damage in many spheres of life, even for the very young.

Higher education institutions and science, technology, engineering, mathematics, and medicine organizations should go beyond a focus on simply increasing the numeric participation of minoritized racial and ethnic groups. To increase diversity, equity, and inclusion in STEMM fields, organizations of all sizes must act to change their cultures and environments.

Lifetime Wealth Advisors: Offering Unbiased Financial Guidance Under the Leadership of Robert Seropian

The world-first, skills-matching technology platform eradicates traditional barriers for job seekers by uberising the job market globally.

Alexandra Feldberg and Tami Kim, assistant professors at Harvard Business School and the University of Virginia Darden School of Business, respectively, say companies are overlooking an important place to root out bias: on the front lines with customers. While many firms are promoting a more equitable workforce through their HR functions, too few firms even realize how costly bias can be in everyday interactions between workers and customers. The researchers explain how organizations can identify and address this overlooked problem. Feldberg and Kim are the coauthors of the HBR article "Fighting Bias on the Front Lines."

Despite the investments made in the last few years, many companies are falling short of their diversity, equity, and inclusion aims. Some firms have faced difficulty spreading their DEI efforts top-down throughout the organization. Trier Bryant, the cofounder and CEO of Just Work, details why and shares a framework that teams and individuals can use to fight bias on the day-to-day level at work.

The number of women—especially women of color—in leadership ranks at the world’s largest companies remains desperately small. Tina Opie, associate professor of management at Babson College, offers a new practice for women to lift each other up and fight systemic bias in the workplace, something she calls “shared sisterhood.” The idea is to be more honest with each other, forming truer bonds. That involves listening, understanding yourself, and a willingness to take risks. With University of Iowa management professor Beth Livingston, Opie wrote the new book “Shared Sisterhood: How to Take Collective Action for Racial and Gender Equity at Work.”

Co.Design asked Tobias Frere-Jones of Hoefler & Co. to give his thoughts on Apple’s choice of Helvetica as an interface typeface for the upcoming OS X Yosemite update:

Despite its grand reputation, Helvetica can’t do everything. It works well in big sizes, but it can be really weak in small sizes. Shapes like ‘C’ and ‘S’ curl back into themselves, leaving tight “apertures”–the channels of white between a letter’s interior and exterior. So each shape halts the eye again and again, rather than ushering it along the line. The lowercase ‘e,’ the most common letter in English and many other languages, takes an especially unobliging form. These and other letters can be a pixel away from being some other letter, and we’re left to deal with flickers of doubt as we read.

This reminds me of what Erik Spiekerman wrote about Helvetica:

[Helvetica] really wasn’t designed for small sizes on screens. Words like milliliter can be very difficult to decipher. If you ever had to read or write a password with 1, i, l or I, you know the problem.

Still, I wouldn’t keep Lucida Grande for HiDPI displays. With a 2× resolution jump (4× pixels) pixel fitting becomes less of an issue, and pixel optimized typefaces like Lucida Grande begin to look crude in comparison with typefaces made primarily for print. Legibility obviously still matters just as much, but the choice need no longer be bound to fonts optimized for low resolution displays.

Investing during a bubble can leave you bust. But how to tell the difference between a bubble before it bursts and an investing rocket ship taking off? We'll run through a historical example and look inside our own thinking to find the mental biases that can contribute or exacerbate bad bubble thinking. | Watch this Tik Tok to learn more and subscribe to our weekly newsletter here.

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Racial bias begins earlier than previously thought, new insights into causeToronto, ON – Two studies by researchers at the Ontario Institute for Studies in Education (OISE) at the University of Toronto and their collaborators from the US, UK, France and China, show that six- to nine-month-old infants demonstrate racial bias in favour of members of […]

Automation requires precise data and careful attention to uncertainty, especially in longer processes with less human involvement, according to Chris Gordon from Optronic Laboratories.

I kept waking up at 7:47 and also noticed the same time on the clock in the evenings. When I mentioned it to my niece, she said it happens to her too, at a different time of the day.

Readers offer a variety of reasons Donald Trump defeated Kamala Harris -- gender bias, the presentation of Harris' policies and Democrats' track record under Joe Biden.

Images of health and safety professionals generated by AI are exclusively white, male and around middle age, despite the wealth of job opportunities health & safety offers to women. 

Michelle Biase will return to HP Canada as its new president next month, while US-based executive Peter DiMarco takes over her role as interim general manager of distributor D&H Canada.

Location: Electronic Resource- 

"As a descendant of Lebanese heritage, I find it insulting and remiss that Friednash can't seem to acknowledge the toll this conflict is exacting upon innocent Lebanese civilians caught in the middle of this conflict. By his logic, failing to mention the collateral damage to the Lebanese people is actually anti-Lebanese." -- Peter Murr, Denver

Social media users alleged bias against former President Donald Trump when a Google search on Election Day for “where to vote” returned an interactive map to find a person’s polling station when including the word “Harris” but not “Trump.” The reason is because “Harris” is a county in Texas, whereas “Trump” is not a location.

The post Google’s ‘Where to Vote’ Search Result Reflects Quirk of Candidate Surname, Not Bias appeared first on FactCheck.org.

Behind the Bylines: Breaking news coverage is the backbone of news, and in Israel, it comes with the added intensity of wartime coverage within the war. Joanie Margulies has been doing just that.

(Written Nov. 1)  Let’s cut to the chase: Vice President Kamala Harris now looks slightly more likely than not to be the next president of the United States. To be […]

The post Unbiased analysis: Harris has slight political edge appeared first on Quin Hillyer.