# Closing Fireside Chat: Can Data Privacy & Ethical AI Coexist

## Participants
- Joshua Browder, CEO, DoNotPay
- Dazza Greenwood, Founder, Law.MIT.edu and Internet Protocol Consultant, Consumer Reports
- Barbara Lawler, President, The IAF
- Daniel Barber, CEO, DataGrail

## Introduction
Generative AI continues to dominate headlines around the world while fundamentally changing how we operate. Yet, the privacy implications of AI are being overshadowed by hype. Join industry leaders for a fireside chat about how we prepare for the inevitable intertwining of data privacy and AI, and what it might mean for the world.

## Transcript

### Daniel Barber (00:12):
Wonderful. Thank you Mary. So actually I think just a little bit of an expanded intro might be nice. Barb, do you want to just give us a little bit of your background and where you've come from and how we got to here?

### Barbara Lawler (00:24):
Sure, thanks. Thanks to everybody for sticking out with this. Before we head up to cocktails, I understand that we are the last stop before that. My name is Barb Lawler. I am the president of the IAF, which is the Information Accountability Foundation. We are a not-for-profit think tank focused on global information policy. We function as a convener for multiple stakeholders, regulators, academic civil society around information governance issues...

### Daniel Barber (02:00):
Lovely.

### Joshua Browder (02:03):
My name is Josh Browder. I'm the founder and CEO of DoNotPay, which is an AI legal assistant to give power to the people across all of consumer rights. I moved here eight years ago from the UK to study at Stanford...

### Dazza Greenwood (02:57):
Hi, I'm Dazza Greenwood, a former in-House counsel, and more recently, going back to my technology roots through my company Civics.com, which is a legal tech consultancy...

### Barbara Lawler (04:49):
We were just talking about that right before coming on stage. And I think the first thing is, what I heard earlier today, is references to what I think of as older, more structured thinking about data...

### Joshua Browder (06:54):
So I'm worried about all of these AI laws coming into place where they say you can't use any AI on people's data because AI is only useful just like with humans, if it has some data to operate on...

### Dazza Greenwood (08:27):
The relationship between data and generative AI, it's profound. So I think superficially, the first thing people think of is what was in the training set, was there PII there...

### Daniel Barber (10:55):
That's interesting. I mean we talked about in our session prior, just how technology can be used for good and evil. I think Joshua, what you're working on is super cool...

### Barbara Lawler (12:35):
I think we get so wrapped up into all of the potential bad cases and juicy stories that it's easy to forget about the good stuff...

### Dazza Greenwood (15:10):
I'll take your prompt to say what are some good things, be concise, a concise bullet list...

### Joshua Browder (18:06):
A year ago when you saw a video or a photo on Twitter or the internet, you could trust that it was real, or maybe two years ago. Now you can't trust that...

### Barbara Lawler (19:46):
One of the things that I'm most concerned about is basically a new wave of identity takeover and the faking of identities...

### Daniel Barber (25:13):
Yes. It is a little bit of both, but when we think about what's happening and not happening in the regulatory space...

### Joshua Browder (30:24):
Just being a foreigner, I love America. I think it's the greatest country in the world, but I think it's deeply broken and there are lots of problems with how things work here...

### Dazza Greenwood (31:38):
It became very aware very early that there are risks and flaws and limits with this technology that can get you in big trouble if you overly rely on it...

### Barbara Lawler (34:11):
I think the first thing is, if you have developed or are in process of any kind of data mapping and data inventory work that is foundational to privacy...

### Daniel Barber (35:22):
Well, lovely. Thank you, Barb. Thank you, Josh. Thank you, Dazza. And that wraps up this session.
