"bias" тілін Поляк тіліне аударыңыз

EN Unconscious Bias In Hiring: How To Reduce Bias In The Hiring Process

• Unconscious Bias In
• Reduce Bias In
• Hiring Process

EN ∑wixi + bias = w1x1 + w2x2 + w3x3 + bias

• bias

EN Critical issues related to gender disparity and bias must be examined by sound studies to support a data-informed approach to implementing interventions and policy related to gender inequality

• Critical issues related
• gender disparity
• interventions
• inequality

EN Elsevier is working with partners, promoting science literacy and research integrity while making efforts to tackle unconscious bias in the publishing process.

• Elsevier is working
• partners
• promoting science literacy
• research integrity while
• efforts to tackle

EN Unconscious bias can lead us to make questionable decisions which impact negatively on the academic publishing process

• publishing process

EN Read more to find out about this important subject and to view resources on how to identify and tackle bias.

• important subject
• identify
• tackle

EN When you do see UB happening, the best way of addressing it is face to face - tackle it straight on and point out how bias may be creeping into a process

• UB happening
• way of addressing
• face to face
• tackle it straight

EN What is Elsevier doing to tackle unconscious bias?

• unconscious bias

EN As part of Elsevier?s diversity and inclusion strategy, we would like to track representation among authors, reviewers, and editors to address gender bias in publishing

• part of Elsevier
• diversity
• inclusion strategy
• representation among authors
• reviewers
• editors to address
• bias in publishing

EN Why is unconscious bias relevant?

• Why is unconscious
• relevant

EN Unconscious Bias can negatively affect the publishing process in a number of ways, for example:

• affect the publishing
• number of ways

EN It’s a fair question, and while there’s no way for us to answer it entirely without bias (obviously, we think our tool is best), we didn’t want to create yet another tedious side-by-side comparison of features

• fair question
• while
• answer it entirely
• bias
• obviously
• think our tool
• want to create
• another tedious side-by-side
• features

EN While generally true and rooted in evolutionary cognitive bias, this is only part of the definition

• While generally true
• rooted in evolutionary
• bias

EN While ageism may be present in the hiring process, there are certain ways you can set yourself up for success. In this article, we?ll explore several interview and resume tips to help avoid potential age bias from employers.

• process
• success
• article
• ll explore several
• avoid potential age

EN candidates skills report along with resume for faster, bias-fee hiring

• candidates skills report
• resume for faster
• bias-fee hiring

EN 11 Ways To Avoid Interviewer Bias In Your Selection Process

• Ways To Avoid
• Bias In Your
• Process

EN What does interviewer bias look like? Why is it so detrimental to a company? How can you avoid it when hiring in the future? Let's find out:

• does interviewer bias
• future

EN Also, this way of measuring developer skills' has an inherent bias against more experienced developers.

• way of measuring

EN AI-powered tools also eliminate bias from the hiring process. An AI does not have an ego, or does not look for familiarity in the candidate enabling it to make better, and more objective decisions than a conventional, low-tech recruitment process.

• process
• ego
• does not look
• better
• conventional
• low-tech recruitment

EN Beyond that, using a resume filter has an inherent bias towards candidates with good credentials (education and work history)

• inherent bias towards
• good credentials
• education
• history

EN Also, this way of measuring a developer's skill has an inherent bias against more experienced developers.

• way of measuring
• inherent bias against
• experienced

EN Most candidates know how good they are with a particular skill, but they usually self-report incorrectly for 2 reasons: bias and misaligned scales.

• particular skill
• usually self-report incorrectly
• reasons
• bias
• misaligned

EN There's an easy way to fix them both:Bias → ask them to prove it with data.Misaligned scales → tell them about your scale and ask them to grade to your scale.

• There's an easy
• scales
• scale

EN 1. Create a scorecard as you go and check for bias later.

• Create a scorecard
• go
• check for bias

EN At the same time, make sure you check for bias  at the end

• sure you check

EN From the point of view of the recruiter, code puzzles might seem like a good way to automate the screening process while also reducing bias.

• point of view
• recruiter
• code puzzles might
• screening process while
• reducing

EN We managed to remove the bias of resume based screening (which is often very subjective), reduced scheduling time down to 0 and managed to screen ~200 candidates weekly even when the entire team was on leave

• managed to remove
• bias of resume
• screening
• often very subjective
• managed to screen
• leave

EN Critical issues related to gender disparity and bias must be examined by sound studies to support a data-informed approach to implementing interventions and policy related to gender inequality

• Critical issues related
• gender disparity
• interventions
• inequality

EN Elsevier is working with partners, promoting science literacy and research integrity while making efforts to tackle unconscious bias in the publishing process.

• Elsevier is working
• partners
• promoting science literacy
• research integrity while
• efforts to tackle

EN Unconscious bias can lead us to make questionable decisions which impact negatively on the academic publishing process

• publishing process

EN Read more to find out about this important subject and to view resources on how to identify and tackle bias.

• important subject
• identify
• tackle

EN ​Facial recognition surveillance poses a threat on free societies - it invades our privacy, strengthens racial bias, enables pervasive policing & mass surveillance.​

• recognition surveillance poses
• threat on free
• invades our privacy
• strengthens racial bias
• enables pervasive policing
• mass

EN While generally true and rooted in evolutionary cognitive bias, this is only part of the definition

• While generally true
• rooted in evolutionary
• bias

EN Think of each individual node as its own linear regression model, composed of input data, weights, a bias (or threshold), and an output. The formula would look something like this:

• Think of each
• linear regression model
• composed of input
• weights
• bias
• threshold
• output
• formula would look

EN Finally, we’ll also assume a threshold value of 3, which would translate to a bias value of –3. With all the various inputs, we can start to plug in values into the formula to get the desired output.

• Finally
• assume a threshold
• various inputs
• start to plug
• desired

EN Bias and discrimination aren’t limited to the human resources function either; it can be found in a number of applications from facial recognition software to social media algorithms.

• Bias
• discrimination
• resources function either
• applications from facial
• software to social