As you rush to deploy generative AI in your organization, are you stepping into treacherous terrain where bad data, poisoned inputs, and broken guardrails threaten to undermine even your most sophisticated AI initiatives?

In episode 896, host Michael Krigsman talks with Dr. David Bray and Dr. Anthony Scriffignano to expose the hidden dangers lurking beneath AI's promising surface and reveal strategies for building trustworthy, resilient AI systems.

Your AI landscape faces two fundamental challenges that can create wrong, even catastrophic, conclusions from your data:

Adversarial Attacks: Intentional manipulation through deepfakes, misinformation, disinformation, and deliberately poisoned datasets designed to corrupt your AI outputs and decision-making.

Naive Implementation: Errors arising from treating generative AI like autopilot, deploying it without proper calibration, guardrails, or understanding of its limitations, leading to misuse and misadventure.

This conversation explores how generative AI's insatiable appetite for data creates new vulnerabilities in your systems. From scraped content with questionable intellectual property rights to training data riddled with bias, you often don't know what's actually feeding your AI systems.

Key issues we examine include:

Data provenance gaps: Not knowing where your data came from or whether you have the right to use it
Intellectual property violations: Training on copyrighted or restricted content without permission
Source contamination: Errors in LLM training data or web scraping that propagate through every output you generate
Systemic bias: Hidden prejudices embedded in datasets that amplify discrimination in your decisions

Who Should Watch

This episode is essential viewing if you are:

CTOs or CIOs implementing AI strategies
Data scientists or AI engineers building production systems
Chief Risk Officers evaluating AI governance
Business leader making decisions based on AI insights
Anyone concerned about AI reliability, bias, and security

In an era where AI hallucinations make headlines and poisoned datasets can corrupt entire systems, this conversation provides the reality check and roadmap to deploy AI that's not just powerful, but trustworthy.

Don't let your AI initiative sink into quicksand: join this episode and learn to build AI on solid ground.

Episode Participants

Dr. David A. Bray is both a Distinguished Fellow and co-chair of the Alfred Lee Loomis Innovation Council at the non-partisan Henry L. Stimson Center. He has held senior executive positions in both the public and private sectors, including at the Atlantic Council and the Federal Communications Commission.

Anthony Scriffignano, Ph.D. is an internationally recognized data scientist with experience spanning over 40 years in multiple industries and enterprise domains. Scriffignano has extensive background in advanced anomaly detection, computational linguistics and advanced inferential methods, leveraging that background as primary inventor on multiple patents worldwide. He also has extensive experience with various boards and advisory groups.

Michael Krigsmanis a globally recognized analyst, strategic advisor, and industry commentator known for his deep business transformation, innovation, and leadership expertise. He has presented at industry events worldwide and written extensively on the reasons for IT failures. His work has been referenced in the media over 1,000 times and in more than 50 books and journal articles; his commentary on technology trends and business strategy reaches a global audience.

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Escape AI Quicksand: Data Misuse, Misadventures, and Mal-Intent | CXOTalk