How Meta tried, and failed, to grab its employees' data for AI (www.businessinsider.com)

Meta attempted to gain a competitive advantage in AI by launching the Model Capability Initiative (MCI), a program designed to collect data from employees' digital interactions, such as keystrokes and mouse movements. This data was intended to train AI models to better replicate human computer usage, crucial for automating tasks in white-collar professions. However, the initiative faced fierce backlash from employees who viewed it as invasive, leading to protests and a petition that garnered over 1,800 signatures. Following a significant internal data leak, which exposed collected information across the company, Meta suspended the program and shifted to an opt-in model. This incident highlights a growing tension within organizations as they seek to leverage internal data for AI development while facing resistance from employees concerned about privacy and job security. The outcome suggests that corporate attempts to harness employee data for AI training might face increasing scrutiny and pushback, potentially reshaping how organizations approach data collection. As the AI/ML community continues to evolve, this episode serves as a cautionary tale about the ethical implications of employee data usage amidst the race for advanced AI capabilities.