Humans: The Real Risk Factor in AI

 Artificial Intelligence is often seen as the looming risk to society. However, the greatest risk lies not in the algorithms themselves, but in us, the humans who design, deploy, and govern them.

Human-Centric Risks:
* Bias in design: AI reflects the data and assumptions we feed it. When those inputs are biased, the outputs amplify discrimination.
* Governance failures: Weak oversight and profit-driven motives often push unsafe systems into critical domains.
* Overreliance on automation: Blind trust in AI outputs can sideline human judgment, leading to catastrophic errors.
* Weaponization risks: AI becomes dangerous when deliberately misused for surveillance, cyberwarfare, or autonomous weapons.
* Transparency gaps: Corporate secrecy and opaque models prevent accountability, leaving users and regulators in the dark.

Why Humans Are the Core Risk:
AI is a mirror. It reflects our values, decisions, and flaws. Systemic issues, corporate incentives, political agendas, and cultural biases shape whether AI becomes a tool for progress or a weapon of harm.

Key Takeaway:
The narrative that "AI is dangerous" misses the point. Humans are the variable that determines whether AI advances society or undermines it. Stronger governance, transparent design, and ethical foresight are not optional; they are the safeguards against our own misuse.

Instead of fearing AI, we should fear complacency in how we manage it. The question isn’t whether AI will be safe; it’s whether we will be responsible enough to make it so.

#risk #airisk #governance #ai #internalaudit
This post was prepared using AI

Do we need more skepticism in the age of AI?

 

Dr. Michael Shermer reminds us:

“Skepticism is not a position; it’s a process.”

That process feels more urgent and important than ever. AI can generate dazzling insights, but it can also produce errors, biases, and illusions of certainty. Skepticism isn’t about cynicism or rejection; it’s about critical inquiry, verification, and disciplined questioning.

In a world where algorithms shape decisions, the real advantage belongs to leaders and professionals who ask:

* What evidence supports this output?

* What assumptions are hidden in the model?

* Where could bias creep in?

Skepticism in the AI era isn’t resistance; it’s resilience. It’s how we ensure technology serves truth, not just speed.

Question for you:

Do you see skepticism as a skill we need to teach more actively in organizations adopting AI?

#internalaudit #risk #grc #skills #skepticism #ai

Fraud Awareness Begins at Home

Fraud is not just a corporate or financial issue; it’s a human one. Every scam, phishing attempt, or deceptive scheme ultimately targets individuals and families. That’s why fraud awareness must start at home.

• Early Education: Teaching children and family members about online safety, suspicious messages, and too-good-to-be-true offers builds lifelong resilience.

• Shared Vigilance: Discussing fraud cases openly at home helps normalize caution. When one person spots a red flag, the whole household learns.

• Digital Habits: Simple practices, such as verifying links, protecting passwords, and questioning unusual requests, are as vital at home as in the workplace.

• Empowerment: Awareness transforms fear into strength. Families who understand fraud tactics are less likely to fall victim and more likely to protect others.

Fraud prevention is not just about compliance or corporate training; it’s about safeguarding trust, dignity, and security in our daily lives. When awareness begins at home, it extends naturally into our communities and organizations.

Internal Auditors' 2026 Horoscope

 I have asked AI (Copilot) to create a humorous 2026 horoscope for Internal Auditors. Here are the results:

• January: You’ll resolve to “close findings faster.” Stars say… you’ll just open new ones.

• February: Love is in the air, but so are overdue audit reports. Cupid prefers compliance.

• March: Spring cleaning? More like “control testing.” Dust off that risk matrix.

• April: Beware of April Fools—especially in expense claims. Fraud hides in jokes.

• May: Flowers bloom, and so do audit issues. Document them before they wilt.

• June: Mid‑year reviews reveal… you’re still waiting for management responses.

• July: Independence Day (US) inspires you: you’ll declare independence from Excel macros.

• August: Hot weather, hotter findings. Your audit committee wants ice‑cold assurance.

• September: Back-to-school vibes: you’ll lecture managers on segregation of duties.

• October: Spooky season. Ghost entries haunt the ledger. Boo! Material weakness!

• November: Gratitude month. Be thankful for strong controls… and coffee.

• December: Year‑end close. Stars say: Your gift is 'one more follow‑up.

Is there still a role for thought leaders in the age of AI?

 With AI tools at our fingertips, anyone can now create and publish content on virtually any topic, often with the polish and authority of a seasoned thought leader.

This evolution led us to ask a deeper question: Is thought leadership still relevant in the age of AI? Here is what AI thinks:

Thought leaders remain essential in the age of AI, precisely because they help bridge the gap between technological capability and human insight. Their role is evolving, not disappearing.

Why Thought Leaders Still Matter:
In an AI-driven world, thought leadership is no longer just about expertise; it's about vision, ethics, and strategic foresight. Here’s how their role is being redefined:
1. Navigating Complexity
AI is transforming industries, but many organizations feel unprepared to scale it responsibly.
Thought leaders help interpret the implications of AI, not just what it can do, but what it should do.
2. Human-Centered Strategy
According to Berkeley Executive Education, AI is reshaping the fabric of society. Thought leaders are needed to guide ethical, inclusive, and human-centric adoption.
They ask the hard questions: How do we preserve trust, creativity, and accountability in automated systems?
3. Cross-Domain Integration
Forbes notes that AI thought leadership involves connecting technology, ethics, and creativity.
This means thought leaders must be fluent across disciplines, from data science to governance to public policy.
4. Empowering Others
In the workplace, leaders must now cultivate AI fluency while preserving critical thinking and interpersonal skills.
Thought leaders shape how future professionals engage with AI, not as a shortcut, but as a tool for deeper understanding.
5. Driving Responsible Innovation
AI-first leadership requires reimagining collaboration between humans and machines.

Thought leaders play a key role in ensuring that innovation aligns with long-term societal and organizational goals.

The New Mandate for Thought Leaders:
Rather than being displaced by AI, thought leaders are being called to:
*Curate meaningful dialogue across sectors and cultures.
*Champion ethical frameworks for AI governance.
*Translate complexity into clarity for boards, teams, and the public.

Are You Ready for the New Global Internal Audit Standards?

 With the Global Internal Audit Standards set to take effect on January 9, 2025, it is crucial that the audit committee is well-prepared and familiar with these standards. To assist with this, we have created a brief presentation designed to equip audit committee members with essential information.

Reach out to us to schedule an in-person or remote presentation.

“Is AI a Potential Existential Risk?”

 Many people recognize the advantages of AI in both professional and personal realms. However, it comes with several risks, such as some of the examples outlined below. While there is broad consensus on many of the risks, few are more contentious, such as the potential existential risk as discussed in the infographic below. I’ve been keeping up with expert discussions on this topic and am still trying to form an opinion on it. Time will tell whether it is a genuine concern or just undue worry.

What do you think?