The Brave Technologist

Luke Mulks

adsales@brave.com

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Booking Overview

An interview-led technology podcast focused on artificial intelligence, privacy, digital rights, and the public-interest implications of emerging technology, typically featuring senior technologists, product leaders, researchers, and policy experts. PR agencies could credibly pitch AI engineers, responsible-AI researchers, technology executives, privacy specialists, and founders with hands-on experience deploying or governing advanced technology; booking difficulty is high because guests generally hold senior roles at major companies or bring substantial research, publishing, or implementation credentials.

Metrics

Episodes: 208

Frequency: Weekly

Rating: 4.9/5.0

Estimated listeners: 1k-10k

Gender skew: Unknown

Location: USA

YouTube: 66.2k subscribers

Contact Information

adsales@brave.com

For verified host and producer emails, sign up to view.

Host

Luke Mulks - VP Business Operations at Brave Software, the company behind the privacy-respecting Brave browser and Search engine, including the Brave Search API.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Senior technologists, AI engineers, product leaders, researchers, founders, or policy experts with direct experience building, deploying, researching, or governing emerging technology—especially artificial intelligence, privacy, digital rights, and responsible innovation.
Required Achievements:  
Leadership of significant AI or emerging-technology products and deployments, Research or applied work at major technology, financial, retail, or research organizations, Published books, academic work, or influential frameworks related to artificial intelligence or technology governance, Demonstrable experience addressing safety, accountability, privacy, ethics, or public-interest concerns

Recent Guest Discussions

Andy McMahon - Deploying Autonomous AI Agents In Regulated Banking Environments, Observability, Permission Structures, Safe Failure, Agentic Payments, And Production AI Governance.

Fred Gifford - Open AI Research, Ethical Datasets, Knowledge Graphs, Biomedical Discovery, AI Accountability, AI Therapy, And The Privacy Implications Of All-in-one Chatbots.

Riccardo Arnaldi - Customer-facing AI Agents, Autonomy Limits, Agent Testing And Quality Assurance, Brand Voice, Customer Sensitivity, And Measuring AI Product Performance.

Recent Topics

Artificial Intelligence, Privacy, Digital Rights, Public Policy, Web3

Episodes

Here's the recent few episodes on
The Brave Technologist
:

How a 200-Year-Old Bank Deploys AI Agents

July 08, 2026

Andy McMahon, Principal AI Engineer at Barclays, shares how a 200-year-old bank is deploying autonomous agents inside one of the most heavily regulated environments in the world. He argues that observability and kill switches matter more than raw capability, and that the real test isn't whether the AI works in a demo, but whether it can fail safely in production. Key Takeaways How a major bank is giving AI agents real autonomy while keeping them bounded inside strict permission structures ...

LIVE FROM THE AI SUMMIT LDN: Inside Sony AI's Bet on Open Research

July 01, 2026

Fred Gifford, Strategy Lead and Sr. Product Manager at Sony AI, shares how his team is building knowledge graphs from academic literature to predict new biomedical relationships and accelerate drug discovery. He explains why Sony AI publishes so much of its research openly, what he got wrong about AI therapy when writing his novel and why he believes accountability for AI's ethical failures still lags dangerously behind the pace of the technology itself. Key Takeaways:  Why specialized AI t...

Pandora: How Much Freedom Should a Shopping Agent Have? (AI Summit LDN)

June 24, 2026

Riccardo Arnaldi, Agentic AI Product Manager at Pandora, shares what it actually looks like to build and scale a brand-facing LLM shopping agent live with millions of customers. He explains why too much autonomy is a liability, how a deterministic routing layer keeps the AI from going off-script, and why traditional QA teams had to rebuild their processes from scratch. He also breaks down a real customer interaction that exposed the gap between automation and appropriate human sensitivity, ch...

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