De La Rosa on AI's evolution from algorithms to agentic systems
De La Rosa traces AI's evolution from algorithmic data tools to generative AI and now agentic AI that can act on a person's behalf. She notes this potential comes with risks including bias, surveillance, breaches, and worsening disparities.
Today should act as a foundation for openness in a discussion that has escalated to alarm, confusion, and fear, and it needs resolution.
Artificial intelligence is advancing rapidly and becoming increasingly integrated into everyday life.
In just a few years, we have seen AI evolve from algorithmic tools that analyze data, make predictions, and support decision-making into generative AI systems that can create text, code, sounds, images.
More recently, agentic AI has emerged, enabling AI agents to take actions on a person's behalf.
AI has a tremendous potential and can be a powerful tool for efficiency, innovation, and productivity.
At the same time, it introduces significant risks, including exacerbating biases, surveillance concerns, breaches, negative public health outcomes, violence, and disparity.
These are concerns that may become even more serious as AI agents become more capable.
When we face serious concerns or challenges, the appropriate response is to address them, not to postpone them.
In an effort by City Council's
by the City Council under the leadership of Speaker Menon.
Today, we respond to some of these concerns.