Shared Links (weekly) Nov. 15, 2020

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Why Taking a Break is Good for Your Mental Health

Why Is Age Not Part of Diversity and Inclusion?

Data and Time Frames Are Forcing a Shift in eDiscovery Workflows

How ‘toxic positivity’ at work may be damaging your mental health

Google Photos will end its free unlimited storage on June 1st, 2021

Craig Ball Weighs in on Embedded Graphics in Emails: eDiscovery Best Practices

Expect Pandemic-Related Addiction Among Employees

Cybersecurity Threats in 2020 now include Choose-Your-Own-IT (CYOIT)

Legal AI – Don’t Be Scared!

3 Questions Legal Teams Need to Ask Before Deciding on an eDiscovery Solution

How to Ask for Help When You Need It

Are Americans actually more productive working from home?

3 Cybersecurity Tools for 2021 Corporate Budgets… Read More

What I’m Sharing (weekly) Sept. 13, 202

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The Perfect Preservation Letter: A New Guide

Is Flexible Work the New Normal? Survey Says It Is Good For Mental Health

The coming wave of Covid-related age discrimination lawsuits

– Employers need to be vigilant in laying off older workers. “High risk for Covid” and “highly compensated” might by proxies for age discrimination.

Amid COVID-19, people under 30 may finally kill email

Will lawyers be replaced by GPT-3? Yes, and here’s when

Fake LinkedIn Accounts – What to Do and What LinkedIn is Doing

One Ethics Rule Leads to Another: Technology Competence and the Duty of Supervision

Remote Networking as a Person of Color

Burnout Of The Remote Employees And How Can They Counter It

Algorithms are Black Boxes, That is Why We Need Explainable AI… Read More

Over-Simplistic Scientific Intelligence

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Reading Time: 5 minutes

And this really brings me back to my point, that we do a poor job of truly understanding science, statistics and cause and effect. We believe that algorithms have all been well-thought out, and produce a “true” result, even when they are trying to predict something as unpredictable as what traffic will look like 20 years from now. We assume social science studies are giving us the “right” answer for how to educate people, or train them for the best outcomes, without considering what we are teaching them about the larger world. We assume that we can tweak one belief, or one thing, without human beings reacting to those changes in unpredictable ways, all the while thinking our one change will cause the reaction we DO predict.

We assume a lot that should never be assumed. We over-simplify a world that actually has more influences than we can possibly account for, and assume that what is really a small statistical difference represents a universal truth.

It doesn’t. There are no simple answers. It takes hard work, hard discussions, and lots of listening to figure out the best way forward. Don’t wait for AI to tell you what to do, it may be missing quite a bit.… Read More

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