Activity
Mon
Wed
Fri
Sun
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
What is this?
Less
More

Owned by Aftab

The place for AI Literacy and AI Governance information, training and deployment support.

Through hands on projects, this community educates parents, students and educators about the safe, effective and ethical use of AI tools.

Memberships

AI Automation Circle

10.5k members • Free

AI Topia

1.5k members • Free

AI Builders

676 members • $97/month

ADHD Entrepreneurs

6.9k members • $49

AI Automation Agency Hub

313.7k members • Free

AI Automation Agency Ninjas

20.5k members • Free

AI Automation Society

347.9k members • Free

AI Business Trailblazers Hive

13.9k members • Free

Automation-Tribe-Free

4.3k members • Free

7 contributions to Fair & Square AI Governance
AI Governance Problem Validation Questions
Connecting poor AI Governance to actual real-world outcomes is a key issue in actually adding value with your AI Governance work. Consider the following questions: - “What’s the most dangerous employee AI behavior you cannot currently see or control?” - “Have you had an incident, near miss, or executive concern tied to AI tool usage?” - “What budget or policy action has already been triggered by this?” This makes CISO's and others perk up as now we have some potential real-world outcomes we can test for likelihood and impact. What do you think? Are these questions useful? What others can we think of?
0
0
AI Risk Management is an essential part of the Control Environment
Back in the days of SOX, assessing a company's Control Environment was a key feature of assessing the quality of controls. AI introduces additional excitement into the mix. So, AI risk management is crucial to a modern control environment because AI systems can go off the rails in unique ways—through bias, data leaks, model drift, or unclear “black box” decisions that old-school controls just don’t catch. By spotting these AI‑specific risks early, companies can add smart controls like data governance rules, human‑in‑the‑loop approvals, and constant model monitoring using frameworks such as the National Institute of Standards and Technology Risk Management Framework (NIST’s AI RMF). When AI risk management is baked into everyday controls, it turns governance from a box‑ticking exercise into a real‑time safety net for AI experiments. Internal audit and risk teams can stress‑test models, challenge weird outputs, and hold vendors accountable, letting the business move fast with AI while staying fair, compliant, and trustworthy with customers and regulators.
0
0
Your AI Governance co-pilot.
Did anyone get a chance to chat with the AI Governance agent? Give it a try and let me know how it went. Here's the number: 1-835-999-2596
0
0
Introduce Yourselves
Good day everyone. Our community continues to grow and we are off to a great start. Please take a moment to introduce yourselves so that everyone can get to know you. Check out the Classroom and go spend some time thinking about the Teenage Mutant Ninja Turtles exercise. Would love to hear what you think. Finally, be sure to give Jessica a call and ask your AI Governance questions.
0
0
Talk to Jessica, our AI Governance Information Agent
Good day everyone and welcome to all our new members. I look forward to making this community interactive and useful to everyone who joins. I invite everyone to give our AI Governance Information Agent, "Jessica" a try. The agent is trained on multiple AI Governance frameworks and can answer a diverse array of questions. Here's the number --> 1-835-999-2596. Conversations are set to complete at the 10 minute mark. If you have more questions, just call back. Please test out the tool and reply to this thread with comments or questions. Thanks!
0
0
1-7 of 7
Aftab Sabir
1
5points to level up
@aftab-sabir-7225
Program Manager from Canada with 25 years business experience. Looking to learn from others and share something useful.

Active 2h ago
Joined Aug 19, 2025
ENTJ
Canada