Fani Willis Files Desperate Effort to Counter New Cellphone Data, but It's a Big Dud

It was earlier reported that the Trump team presented information regarding the relationship between Fulton Country DA Fani Willis and the special prosecutor that she appointed in the Trump election case, Nathan Wade.

On one occasion, on Sept. 11, 2021, Wade’s phone left the Doraville area and arrived in the vicinity of Willis’ Hapeville address at 10:45 p.m. The phone remained there until 3:28 a.m. and could later be seen arriving in East Cobb at 4:05 a.m., shortly before Wade sent a text to Willis, the affidavit said. Similarly, Wade’s phone left the East Cobb area the night of Nov. 29, 2021, after receiving an 11:32 p.m. call from Willis, the affidavit said. It arrived in Hapeville at 12:43 a.m. and remained there until 4:55 a.m., the affidavit added.

His data also showed more than 2000 calls between the two, and about 10,000 text messages, before they were supposedly romantically involved. Many found that damning, including a former Fulton County assistant district attorney Darryl Cohen.

Willis filed a response. But the response was fascinating for what it didn't say. It challenged the data on procedural grounds, seeking to get it excluded. She also said the data didn't "prove" that there was a relationship. So, nothing in the filing truly rebuts what the cellphone data reveals, they're just hoping the judge will rule the information out.

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Big Companies Using Artificial Intelligence to Monitor Employee Communications

If you work for a company that uses Zoom, Slack, Microsoft Teams, or a similar app for employee communications, you might consider posting a similar message. Why?

Because there’s a decent chance your employer is using artificial intelligence to monitor your messages, especially if you happen to work for big entities such as Walmart, Delta Air Lines, T-Mobile, Chevron, Starbucks, Nestle, AstraZeneca… the list goes on

Using the anonymized data in Aware’s analytics product, clients can see how employees of a certain age group or in a particular geography are responding to a new corporate policy or marketing campaign, according to Schumann. Aware’s dozens of AI models, built to read text and process images, can also identify bullying, harassment, discrimination, noncompliance, pornography, nudity and other behaviors, he said.

Aware’s analytics tool — the one that monitors employee sentiment and toxicity — doesn’t have the ability to flag individual employee names, according to Schumann. But its separate eDiscovery tool can, in the event of extreme threats or other risk behaviors that are predetermined by the client, he added.

Some American workers aren't thrilled with the idea of being snooped on.

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