I think this is really interesting, because the more information about you there is, the more reasons someone can find to either rule against you, or to do more investigation into you. Which leads to more information about you being available, and round and round we go. “That is in part because algorithms are made…
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
I’ve asked you before if you would be able to tell if I walked away from this blog years ago and simply left AI to write it. Maybe we aren’t there yet, but consider the article below. This is how it came to be: “This article was written by GPT-3, OpenAI’s language generator. GPT-3 is…
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.
Google Has a Plan to Disrupt the College Degree?This is pretty interesting, could work, if we can get orgs to see it as “qualified”. Would open a ton of doors.
Toward a Zoom agreement?”The purpose of a meeting is not to fill the allocated slot on the Google calendar invite. The purpose is to communicate an idea and the emotions that go with it, and to find out what’s missing via engaged conversation. If we can’t do that, let’s not meet.”
Report: AI Company Leaks Over 2.5M Medical Records
The Intersection of E-Discovery and Cybersecurity: You’ve Come a Long Way, Baby
Think You Don’t Need to Preserve Slack Data for Discovery? Think Again
There is No Such Thing as a Free Lunch in Legal Tech
Non-Lawyer Ownership Doesn’t Guarantee More A2J?The $$ barrier to entry for someone to even be a lawyer guarantees legal services will always be expensive. #A2J will require systemic changes.
5 Best Password Managers of 2020
Surveys Show Technology Is The Key To Law Firm Success During COVID-19 And Beyond
Minimize The Risk of Data Loss From Departing Employees With These Simple Checklists
I’ve been at this blog for almost 19 years. Are you sure it’s still me writing these posts? Did I disappear and just leave it on autopilot to write posts for me long after I’m gone?
Are you sure you would know if I did?
Not everything is as it appears. We could all use a lot more skepticism, especially on topics we are already biased to believe.