Moral Machine

Chris D. Warren, host of The Moral Machine Podcast, sits down with Brandon Hogstad of Morpheos Innovation to explore what responsible AI deployment actually looks like inside businesses where security, privacy, compliance, and accuracy matter.

As companies race to adopt artificial intelligence, employees are often already experimenting with AI tools on their own—sometimes sending sensitive company or client information to third-party platforms without realizing the potential risks.

Brandon explains how businesses can move beyond this kind of “shadow AI” and build secure, practical AI systems designed around their actual workflows.

The conversation explores:
• AI security and data privacy in regulated industries
• The risks of shadow AI inside organizations
• Local AI models and keeping sensitive data within a company’s security perimeter
• AI applications for government contractors, healthcare, accounting, and finance
• Building custom AI workflows and internal operations portals
• Using RAG to match government solicitations with qualified companies
• Human-in-the-loop decision making
• Measuring ROI from AI implementation
• Rising compute and infrastructure costs
• Surveillance, data centers, and the broader implications of AI 

Brandon also shares a real-world example of an AI-powered system that monitors government solicitations, summarizes opportunities, matches them against a company database, and produces evidence-backed recommendations—showing how AI can solve specific business problems rather than simply chasing the latest technology.

The takeaway: responsible AI isn't about using more AI. It's about building the right systems, with the right safeguards, for the right problems.

 "The Moral Machine Podcast," hosted by Chris D. Warren, explores the intersection of artificial intelligence, ethics, law, business, and society through conversations with experts navigating the rapidly changing world of AI. Subscribe for more conversations about AI adoption, governance, leadership, innovation, and the future of work.

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP. 

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP. 

Why do so many AI initiatives fail to create meaningful business results?
 
 In this episode of "The Moral Machine Podcast," host Chris D. Warren sits down with Steve Bauer, founder of Bauer Consulting, to discuss AI adoption, change management, and what it really takes to successfully integrate artificial intelligence into an organization.
 
 Steve explains why the biggest challenge with AI transformation often isn't the technology itself. It's aligning people, processes, and leadership around how to use it effectively.
 
 Together, they explore the importance of employee training, AI governance, leadership buy-in, trust, and organizational change—and why businesses need more than the latest AI tools to create lasting results.
 
 For business leaders and organizations trying to move from AI experimentation to real-world implementation, this conversation offers a practical look at how to build an AI strategy that people can actually adopt.
 
 "The Moral Machine Podcast," hosted by Chris D. Warren, explores the intersection of artificial intelligence, ethics, law, business, and society through conversations with experts navigating the rapidly changing world of AI. Subscribe for more conversations about AI adoption, governance, leadership, innovation, and the future of work.

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP. 

AI is transforming hiring, but many companies don't realize the legal risks that come with it. In this episode of "The Moral Machine," host Chris D. Warren sits down with employment attorney Elizabeth Schlissel to discuss New York City's Local Law 144, one of the first regulations designed to address AI bias in hiring and recruiting.
 
Together, they explore the real-world consequences of AI discrimination, including the well-known case of Amazon's resume-screening tool, and explain what employers must do to stay compliant. Learn about required bias audits, candidate notification rules, public disclosure requirements, and the penalties businesses can face for noncompliance.
 
Elizabeth also shares practical guidance on managing AI vendors, identifying "shadow AI" risks within organizations, and building governance policies that protect businesses as AI regulations continue to evolve.
 
Whether you're a business owner, HR leader, recruiter, attorney, or technology professional, this conversation offers valuable insight into the future of AI compliance, employment law, workplace technology, and responsible hiring practices.
 
Elizabeth Schlissel is Chair of the Labor & Employment Practice Group at Falcon Rappaport & Berkman and a leading voice on workplace AI regulation and employment law.
 
"The Moral Machine," hosted by Chris D. Warren, explores the intersection of artificial intelligence, ethics, law, business, and society through conversations with leading experts shaping the future of technology. Subscribe for more discussions on AI governance, compliance, innovation, and the human impact of emerging technologies.

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP. 

The Moral Machine host Chris D. Warren interviews Morristown, New Jersey federal criminal defense attorney Ernesto Cerimele about the New York Times v. OpenAI lawsuit and Judge Wang’s May preservation order requiring OpenAI to retain all U.S. user-submitted materials. They argue the order’s scale (billions of users/chats) creates an unprecedented pool of private, potentially confidential AI chat logs, raising Fourth Amendment concerns under Carpenter and limits on the third-party doctrine for modern digital data. Cerimele discusses risks of general warrants, overbroad subpoenas, and law enforcement access to preserved logs revealing politics, health, relationships, and legal strategy. Proposed guardrails include search-warrant requirements, particularity (timeframes/keywords/topics), minimization akin to wiretap rules, filter teams for privilege, and stronger judicial oversight, citing New Jersey’s State v. Benoa suppressing an overbroad four-year phone search.

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP. 

What really happens to client data when you use tools like ChatGPT, especially if you click “delete” or disable training? In this episode, I’m joined by Cathy Miron, CEO of eSilo and a nationally recognized expert in data protection and cybersecurity, to unpack the privacy, security, and governance realities behind modern LLMs. We discuss litigation and vendor policies can complicate “private” chats, why backups, logs, and engineering choices often outpace contract language, and practical ways lawyers and regulated organizations can use AI without compromising confidentiality or privilege. We cover de-identification workflows, BAAs and vetted tools (think FedRAMP/CMMC contexts), API nuances around ZDR, and the human firewall. Governance for acceptable-use policies, training, and curbing “shadow AI” with sanctioned, enterprise subscriptions. It’s a candid, pragmatic guide to balancing innovation with risk.

Views expressed on Moral Machine are the author’s own and do not reflect those of the New Jersey Supreme Court Attorney Ethics Committee (District VI) or Falcon Rappaport & Berkman LLP.