UPDATE — MARCH 2026:

Since the July 2024 webinar “Building Trust with AI: Ethical Practices for Positive Bottom Line Impact,” discussions around trustworthy AI have continued gaining momentum as organizations face growing pressure to demonstrate responsible AI governance. Moreover, regulators, industry groups, and technology leaders have increasingly emphasized that trust, transparency, and accountability are central to successful AI adoption.

Across industries, companies deploying AI systems are now expected to implement governance frameworks that address risks such as bias, data privacy concerns, explainability, and system reliability. At the same time, emerging regulatory frameworks—including the EU AI Act and various national AI governance initiatives—have reinforced the importance of documented risk management, transparency obligations, and ongoing monitoring of AI systems.

At the same time, businesses are recognizing that responsible AI practices are not solely a compliance requirement but also a competitive advantage. As a result, organizations that proactively invest in AI governance, testing, and independent assurance mechanisms are often better positioned to maintain customer trust, protect their brand reputation, and avoid costly operational or legal risks.

Industry events, webinars, and collaborative discussions like this one continue to serve as valuable forums for sharing practical strategies and real-world experiences related to ethical AI deployment. In addition, these conversations frequently highlight the importance of integrating governance practices early in the AI development lifecycle. This is preferable to treating oversight as a late-stage compliance exercise.

As AI adoption continues accelerating across sectors such as finance, healthcare, insurance, and public services, organizations are increasingly exploring structured approaches to AI assurance, including testing, auditing, and governance frameworks. Therefore, these efforts reflect a broader industry shift toward embedding responsible AI practices into everyday business operations.

ORIGINAL PRESS RELEASE:

BABL AI VP of Sales to Speak at QuantPi’s Virtual Event on Building Trust with AI

BABL AI is pleased to announce an upcoming webinar featuring Bryan Ilg, Vice President of Sales at BABL AI, and Luciana Correa, Partner Management Lead at QuantPi. “Building Trust with AI: Ethical Practices for Positive Bottom Line Impact” will explore how ethical AI practices strengthen customer trust and drive business success. Afterwards, a live Q&A will follow the main discussion.

Event Highlight: Interactive Session with Live Q&A – “Building Trust with AI: Ethical Practices for Positive Bottom Line Impact”

Date: July 25, 2024
Time: 10:00 – 10:35 AM ET / 4:00 – 4:35 PM CEST
Platform: Zoom

Why Trust Matters in AI

As AI becomes more pervasive, businesses must ensure their systems foster confidence rather than suspicion. Ethical practices are no longer optional; they are essential to long-term customer loyalty and brand reputation. Even a single misstep can undermine years of relationship-building. This webinar will focus on how responsible AI governance safeguards trust while delivering measurable value to organizations.

Key Topics

• The Trust Factor: How AI practices shape customer trust and influence reputation.

• Ethical AI in Action: Practical strategies for developing, deploying, and governing AI responsibly.

• The Bottom Line Boost: How ethical AI practices support customer satisfaction, loyalty, and revenue growth.

Insights from BABL AI

Also, Bryan Ilg will share practical guidance on balancing speed, cost, and responsibility in AI development. He notes that responsible AI often requires just a modest adjustment to project timelines. “Our audit takes 2–4 weeks once an organization has its materials organized,” Ilg explained. “If audits are planned from the start, they only add 2–4 weeks to the overall lifecycle. Speed and cost become issues only when responsibility is left out of the larger picture.”

Speakers:

• Bryan Ilg, Vice President of Sales, BABL AI
• Luciana Correa, Partner Management Lead, QuantPi

Therefore, join us for this engaging discussion and bring your questions for the live Q&A.

Register Now: Registration Link

About BABL AI:

Since 2018, BABL AI has been auditing and certifying AI systems, consulting on responsible AI best practices and offering online education on related topics. BABL AI’s overall mission is to ensure that all algorithms are developed, deployed, and governed in ways that prioritize human flourishing.

About QuantPi:

QuantPi specializes in developing advanced AI solutions that prioritize transparency, security, and trustworthiness. In practice, through cutting-edge research and practical applications, QuantPi aims to shape the future of AI governance and foster an ecosystem where AI technologies can thrive responsibly.