IAPP AIGP Exam With Confidence Using Practice Dumps

The correct answer is E – Superintelligence.

While the other options (Autonomy, Automation, Adaptability, Speed and Scale) are commonly cited as real-world characteristics that affect governance today, superintelligence remains a theoretical concept.

From the AIGP ILT Guide and AI Governance in Practice Report 2024:

“Core AI characteristics—such as automation, adaptability, speed, and autonomy—require active governance due to their impact on decision-making, legal liability, and risk.”

However, superintelligence is speculative and not a current feature of AI systems under governance frameworks like the EU AI Act or NIST RMF.

Thus, it's not a current characteristic requiring governance in real-world enterprise settings.

The failures in semi-autonomous vehicles due to sensors misinterpreting environmental surroundings, such as sunlight, are examples of brittleness. Brittleness in AI systems refers to their inability to handle variations in input data or unexpected conditions, leading to failures when the system encounters situations that were not adequately covered during training. These systems perform well under specific conditions but fail when those conditions change. Reference: AIGP Body of Knowledge on AI System Robustness and Failures.

Human-centric AI focuses on improving the human experience by addressing individual needs and enhancing human capabilities. Option D exemplifies this by using virtual assistants to tailor educational content to each student's unique abilities and needs, thereby supporting personalized learning and improving educational outcomes. This use case directly benefits individuals by providing customized assistance and adapting to their learning pace and style, aligning with the principles of human-centric AI.