Shift, an initiative by Micro AGI, offers free home cleaning and private chef services in exchange for collecting in-home data to train AI-powered robots, with the premise that services are voluntary and compensated by data.

Privacy advocates warn that sensitive in-home information could be captured and potentially shared with third parties, raising long-term concerns for workers and competition.

Reaction among participants is mixed, as some cleaners are excited to contribute to AI development while others worry about privacy and labor implications.

Founder Bercan Kilic says the goal is to gather diverse, real-world data from various homes to develop more capable household robots that can adapt to different objects, lighting, and spaces.

Shift defends its model as voluntary and transparent, arguing that real-world data is essential for training robots to handle diverse environments, and that users are compensated for their data.

Two young cleaners wear cameras, working in multiple apartments per day to capture extensive footage aimed at teaching robots dexterity and manipulation.

The collected data is intended to be anonymized and sold to robotics and AI companies to train future automation systems.

Kilic emphasizes transparency, noting that free services constitute compensation and that participants can opt out; some contributors are excited about contributing to AI while others remain wary.

Privacy advocates warn about pay-for-privacy risks and potential data misuse, including sharing with governments or other entities and possible future job displacement for cleaners.

The program deploys teams to up to five homes a day in New York to record dexterity-based tasks and real-world interactions that robots will need to learn.

Experts caution that in-home recordings can capture highly sensitive information, underscoring the seriousness of privacy and consent concerns.