Human in the Loop
Claim This Podcastby Keegan Chambers
Podcast Overview
<p><i>From Drift to Directive</i> is the Center for Trustworthy AI’s deep dive into the shifting tides of AI governance. In a world where algorithms steer decisions, and trust is the new currency, we explore how to anchor artificial intelligence in ethics, transparency, and accountability.</p><p>Each episode charts a course through regulatory waters, technical dilemmas, and philosophical quandaries—with expert guests, sharp questions, and the occasional splash of wit.</p><p>Whether you're coding at the helm or policy-making from the crow’s nest, this is your compass for navigating AI’s future.</p>
Language
🇺🇲
Publishing Since
3/12/2026
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Recent Episodes
June 3, 2026
Data Poisoning - The Hidden Risk Shaping AI
<p><b>This episode explores data poisoning and its growing impact on AI systems, from model backdoors to agent memory risk. Ioana and Chris chat with Microsoft's Giorgio Severi about how adversaries manipulate data, why these attacks are hard to detect, and what it takes to build layered defenses that keep AI systems reliable, safe, and trustworthy.</b><br /><br />What You Will Learn:</p><ul><li>Understand what AI red teaming is and why it’s critical for safe AI deployment</li><li>Learn how data and model poisoning can subtly influence AI behavior over time</li><li>Explore why AI systems can fail silently (e.g., backdoors and hidden triggers)</li><li>Discover the importance of layered security (“defense in depth”) in AI systems</li><li>Gain insight into new risks in AI agents, especially around memory and persistence</li><li>Get practical guidance on how to design and test more trustworthy AI systems</li></ul><p></p><p>Publications: <br /><a rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2602.03085" target="_blank">[2602.03085] The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers</a><br /><a rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/1708.06733" target="_blank">[1708.06733] BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain</a><br /><br />#EnterpriseAI #AISafety #TrustworthyAI #AIGovernance #AgenticAI #AIResearch</p>
May 6, 2026
Better Data, Better AI
<p><b>For this episode of Human in the loop, we talked with Dux Raymond Sy (Chief Brand Officer, AvePoint) to explore why a foundation of trusted data is crucial in the AI era. We chatted about how to avoid data traps, how to prepare for a future full of AI assistants, and turn AI hype into real results without compromising trust.</b><br /><br />What You Will Learn:</p><ul><li>Why trustworthy data is the foundation of effective and safe AI, especially as systems act autonomously.</li><li>What “good data” really means; data you can trust, govern, and automate decisions with.</li><li>How AI agents and multi‑agent systems amplify risk when data quality and controls are weak.</li><li>Why visibility, ownership, and lifecycle management of AI agents are now critical.</li><li>How to reframe governance as guardrails that enable people to succeed, not slow them down.</li><li>Why human‑in‑the‑loop, monitoring, and kill switches are essential for autonomous AI.</li><li>How different regions are approaching AI adoption and education, and what others can learn from them.<p></p><p>#HumanInTheLoop #TrustworthyAI #AIGovernance #ResponsibleAI #AgenticAI</p></li></ul>
April 9, 2026
Navigating AI Risk in every organization
<p>In this episode of Human in the Loop, we sit down with Meredith from Applied Information Sciences to explore what it truly takes to bring AI into organizations responsibly. From securing sensitive data to navigating shadow AI, she shares practical guidance shaped by years of working with highly regulated industries. Together, we unpack the evolving role of AI policies, the importance of human‑in‑the‑loop safeguards, and how emerging agentic systems are reshaping expectations for security and governance. It’s a grounded, insightful conversation for anyone looking to innovate with AI while keeping trust and safety at the center.<br /><br />What You Will Learn: <br />• Trustworthy AI is crucial for responsible innovation<br />• Data security and governance are often underestimated risks.<br />• Zero Trust principles are essential in AI security.<br />• AI amplifies existing cybersecurity risks.<br />• Organizations must address shadow AI usage.<br />• Policies around AI usage are lacking in many organizations.<br />• Everyone in the organization shares responsibility for AI governance.<br />• Human oversight is necessary in AI decision-making.<br />• Experimentation with AI tools can lead to valuable insights.<br />• Curiosity and willingness to try new AI tools are vital.</p>
7 total episodes available
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Frequently asked questions
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- What is Human in the Loop?
<p><i>From Drift to Directive</i> is the Center for Trustworthy AI’s deep dive into the shifting tides of AI governance. In a world where algorithms steer decisions, and trust is the new currency, we explore how to anchor artificial intelligence in ethics, transparency, and accountability.</p><p>Each episode charts a course through regulatory waters, technical dilemmas, and philosophical quandaries—with expert guests, sharp questions, and the occasional splash of wit.</p><p>Whether you're coding at the helm or policy-making from the crow’s nest, this is your compass for navigating AI’s future.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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