This Woman's Boss Kept Taking Her Work, So She Added A Hidden Signature To Her Presentation, And It's Deliciously Petty; Buzzfeed, March 7, 2022

Alexa Lisistza, Buzzfeed ; This Woman's Boss Kept Taking Her Work, So She Added A Hidden Signature To Her Presentation, And It's Deliciously Petty

"In hindsight, she said, "I think [managers passing off work as their own is] common because in this field of work, it’s like a lion cage. You need to fight your way up. Literally. No matter who gets hurt."...

Sometimes people forget that they work with people, for people," Cristina concluded. "It doesn’t always have to be a competition. We can work together to grow. We don’t need to steal from each other. We can learn from each other and be better — create a better [workspace]...where everyone is supported and appreciated. But sometimes, I feel like that’s just a dream.""

Where Automated Job Interviews Fall Short; Harvard Business Review (HBR), January 27, 2022

Zahira Jaser, 

Dimitra Petrakaki, Rachel Starr, and 

Ernesto Oyarbide-Magaña

, Harvard Business Review (HBR) ; Where Automated Job Interviews Fall Short

"The use of artificial intelligence in HR processes is a new, and likely unstoppable, trend. In recruitment, up to 86% of employers use job interviews mediated by technology, a growing portion of which are automated video interviews (AVIs).

AVIs involve job candidates being interviewed by an artificial intelligence, which requires them to record themselves on an interview platform, answering questions under time pressure. The video is then submitted through the AI developer platform, which processes the data of the candidate — this can be visual (e.g. smiles), verbal (e.g. key words used), and/or vocal (e.g. the tone of voice). In some cases, the platform then passes a report with an interpretation of the job candidate’s performance to the employer.

The technologies used for these videos present issues in reliably capturing a candidate’s characteristics. There is also strong evidence that these technologies can contain bias that can exclude some categories of job-seekers. The Berkeley Haas Center for Equity, Gender, and Leadership reports that 44% of AI systems are embedded with gender bias, with about 26% displaying both gender and race bias. For example, facial recognition algorithms have a 35% higher detection error for recognizing the gender of women of color, compared to men with lighter skin.

But as developers work to remove biases and increase reliability, we still know very little on how AVIs (or other types of interviews involving artificial intelligence) are experienced by different categories of job candidates themselves, and how these experiences affect them, this is where our research focused. Without this knowledge, employers and managers can’t fully understand the impact these technologies are having on their talent pool or on different group of workers (e.g., age, ethnicity, and social background). As a result, organizations are ill-equipped to discern whether the platforms they turn to are truly helping them hire candidates that align with their goals. We seek to explore whether employers are alienating promising candidates — and potentially entire categories of job seekers by default — because of varying experiences of the technology."

Patent office workers bilked the government of millions by playing hooky, watchdog finds; Washington Post, 8/31/16

Lisa Rein, Washington Post; Patent office workers bilked the government of millions by playing hooky, watchdog finds:

"Thousands of employees who review patents for the federal government potentially cheated taxpayers out of at least $18.3 million as they billed the U.S. Patent and Trademark Office for almost 300,000 hours they never worked, according to a new investigation...

The investigation scheduled for release Wednesday by the independent watchdog for the Commerce Department, the patent office’s parent agency, determined that the real scale of fraud is probably double those numbers..."

Investigators also found widespread time and attendance abuse at another Commerce agency, the U.S. Census Bureau, where employees in the small hiring office overcharged the government for thousands of hours of time they never worked. The fraud, also carried out by supervisors, involved 40 employees, more than half of the staff of the small office."