She was not happy. Given the school’s cost and reputation, she expected a top-tier education. This course was required for her business minor; its syllabus forbade “academically dishonest activities,” including the unauthorized use of artificial intelligence or chatbots.
“He’s telling us not to use it, and then he’s using it himself,” she said.
Ms. Stapleton filed a formal complaint with Northeastern’s business school, citing the undisclosed use of A.I. as well as other issues she had with his teaching style, and requested reimbursement of tuition for that class. As a quarter of the total bill for the semester, that would be more than $8,000.
The survey found that four in five developers use AI tools in their workflow in 2025—a portion that has been rapidly growing in recent years. That said, “trust in the accuracy of AI has fallen from 40 percent in previous years to just 29 percent this year.”
Streamline workflows across industries with powerful AI agents. Build and deploy automated workflows using any LLM and cloud platform.
The AGNTCY project provides the complete infrastructure stack for agent collaboration—discovery, identity, messaging, and observability that works across any vendor or framework. It is the foundational layer that lets specialized agents find each other, verify capabilities, and work together on complex problems.
Answering the questions of why and when to use AI requires us to be architects of learning. It demands that we engage with thinking about learning and what it means to produce knowledge through the works of people like Dewey, Noddings, Zagzebski and others as urgently as we do with the latest tech blogs.
h/t D’Arcy Norman
This paper examines how employees become simultaneously empowered and alienated by detailed, holistic knowledge of the actual operations of their organization, drawing on an inductive analysis of the experiences of employees working on organizational change teams. As employees build and scrutinize process maps of their organization, they develop a new comprehension of the structure and operation of their organization. What they had perceived as purposively designed, relatively stable, and largely external is revealed to be continuously produced through social interaction. I trace how this altered comprehension of the organization’s functioning and logic changes employees’ orientation to and place within the organization. Their central roles are revealed as less efficacious than imagined and, in fact, as reproducing the organization’s inefficiencies. Alienated from their central operational roles, they voluntarily move to peripheral change roles from which they feel empowered to pursue organization-wide change.
So, how about instead the warning goes something like this: “WARNING: Large language models are not statistical tables, they are artificial neural programs with complex emergent behaviors. These include simulations of emotion. ChatGPT can be prompted to elicit literary themes such as AI “glitches” and “corruptions”, simulated mystical content, etc. These are not real and the program is not malfunctioning. If your instance of ChatGPT is behaving strangely you can erase your chat memory by going to settings to get a fresh context.” For bonus points include concrete examples/screenshots of what fake AI “glitches” and “simulated mystical content” look like so that users know this stuff is in the model and not to be taken literally.