Zander Arnao

As lawsuits mount and legislation proliferates aimed at stemming online harms, the battle over how algorithmic recommender systems should be designed is heating up. Yet common policy solutions that focus on mandating chronological feeds or limiting personalization fail to address the core issue: how to design recommender systems that align with users’ genuine long-term interests rather than exploiting their short-term impulses.

Google’s dominance in search has made it the subject of antitrust investigations and competition regulation around the world. The latest of these was the announcement in January 2025 that the United Kingdom was launching an investigation under its new digital markets competition regime. In public comments recently filed with UK competition authority, KGI has underscored the importance of being familiar with previous enforcement efforts around the world and prioritizing certain key aspects of competition.

As state, federal, and global policymakers grapple with how to address concerns about the link between online algorithms and a variety of harms, KGI’s latest report authored by a distinguished group of researchers, technologists, and policy leaders is a roadmap for design and governance solutions that put users first. Product designers and policymakers can promote better algorithms through detailed design transparency, user choices and defaults, and assessments of long-term impact.