The Regulators Puzzle. This is an issue I’ve discussed a few times in the past, but one that has continued to adapt with a changing political landscape and set of guidelines. The immediate effects of AI and are prominent as recommendations and personalized ads have infiltrated all sorts of everyday applications. Yet the flip side of the coin - regulation - is still relatively nascent. As I’ve said before, building regulation requires a deep understanding of the framework or economics behind a business. Standard monopolies have, in the past, remained relatively easy to spot and appropriately regulate. Technology has flipped that business structure on its head through zero-cost copies of software/media and pace that can simply out-maneuver any ‘band-aid’ laws. Many of the algorithms used in most tech run through layers on layers of work - business strategy, customer feedback, technical feasibility, pure development, optimization, and finally some output. With some AI model or bot built in, complexity shoots up through additional layers of networks and processing.
Guidelines and regulation are driven by a deep understanding of the implications and technical details behind a certain application or product. Properly accounting for this requires both an awareness of the details as well as the ability to abstract away and realize the ‘types’ of delivery methods that exist. Only then can a fair (whatever that means) protocol be developed for maintaining standards. Of course, all without stifling growth and innovation
