Data and Privacy in the Age of AI | Virtual Workshop Series
Event

Data and Privacy in the Age of AI | Virtual Workshop Series

Online

About this event

A free, public workshop—no technical background needed
​Most of us already know that companies, governments, and apps collect a lot of data about us. That part isn’t new.
What is new is what AI makes possible with that data.
​For years, the privacy conversation has mostly been about tracking, ads, data brokers, social media, and surveillance. Those concerns still matter. But advanced AI changes the picture: once powerful models can analyze huge amounts of text, images, location data, purchases, messages, and online behavior at scale, the value of personal data goes way up—and so do the risks.
​This workshop will look at how the data and privacy landscape worked before AI, and what may change now that sophisticated AI systems can search, summarize, infer, predict, and act on massive amounts of personal information.
​Together, we’ll explore questions like:

  • Surveillance: How could AI make it easier to monitor people, identify patterns, and draw conclusions from huge amounts of data?
  • Incentives: Why might companies and governments have stronger reasons than ever to collect, store, and analyze personal information?
  • Advertising & persuasion: How could AI make targeted advertising, political messaging, and behavioral manipulation more personalized and more effective?
  • Scams & attacks: What happens when bad actors can use AI to personalize fraud, phishing, impersonation, and social engineering at scale?

What you’ll get:

  • ​A clear, beginner-friendly overview of how data privacy worked before modern AI
  • ​A practical explanation of why AI changes the value and danger of personal data
  • ​Real examples of how AI is already being used in surveillance, advertising, and persuasion
  • ​A live demo showing how today’s tools can be used to launch sophisticated scams and attacks at scale
  • ​A framework for thinking more clearly about privacy, power, and trust in a world where data is easier than ever to analyze

​This is not a workshop about deleting every app or becoming paranoid about technology. It’s about understanding the new reality we’re entering.
​AI doesn’t just make data more useful. It makes data more actionable. And that means the privacy choices we make—as individuals, companies, and societies—are going to matter a lot more than they used to.
This is the fifth session in a six-part virtual series. Each workshop stands on its own and is free to attend. Future sessions: 6/18 AI Policy and Governance Overview

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.