In the modern digital ecosystem, algorithms govern everything from which news we see and who we date to how much we pay for plane tickets and whether we get a mortgage. But what happens when these systems are not just biased or inefficient, but actively malicious? What happens when an algorithm is programmed to fail, manipulated to deceive, or designed to self-destruct in a way that harms its users?
Algorithmic Sabotage Research Group (ASRG) is an ongoing, aesthetico-political research framework that explores strategies of resistance against what it terms the "algorithmic empire". Their work focuses on the intersection of digital culture, information technology, and social justice. Key Articles and Resources Manifesto on Algorithmic Sabotage algorithmic sabotage research group %28asrg%29
Most AI systems are trained on historical data. The ASRG's first pillar asks: What if the future does not look like the past? PPDI involves pre-positioning "sleeper" data points into public datasets that lie dormant until triggered by a specific real-world condition. Inside the Algorithmic Sabotage Research Group (ASRG): The
Conflict of Interest Statement: The authors are employed by no institution and funded by no grant. We operate on a cooperative model of donated inference cycles and open-source intelligence. Algorithmic Sabotage Research Group (ASRG) is an ongoing,
By examining these areas, one can gain a broader understanding of how the Algorithmic Sabotage Research Group contributes to contemporary debates regarding the ethics and societal impact of automated systems. Algorithmic Sabotage Research Group %28asrg%29