3.1 Explain Responsible AI Principles (fairness, Transparency, Accountability, Bias Mitigation, Safety) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What does fairness in AI primarily aim to ensure?

   • AThat AI systems produce the same output for every input
   • BThat AI systems are faster than human decision-making
   • CThat AI systems treat all individuals or groups equitably without unjustified bias
   • DThat AI systems are free from all forms of bias, including statistical bias
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A multinational corporation deploys an AI system across multiple countries. The system makes decisions that affect customers in different jurisdictions. The company wants to ensure accountability but faces varying regulatory requirements. What is the most effective approach?

   • AUse the AI system only in countries with the least stringent regulations.
   • BImplement a single global accountability framework that meets the strictest regulatory requirements.
   • CLet each country's local team manage accountability independently.
   • DRely on the AI vendor to ensure accountability globally.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A city deploys an AI system to prioritize road maintenance. The system occasionally recommends actions that could create safety hazards. The city wants to ensure that there is a clear process for addressing these issues. Which measure best supports accountability?

   • AConfigure the AI system to automatically override any recommendation that could be unsafe.
   • BAssign a designated team to monitor the AI system, document decisions, and implement a remediation process for identified issues.
   • CPublish the AI system's source code on the city's website.
   • DDisable the AI system until all safety concerns are fully resolved.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the overarching goal of responsible AI in the context of Cisco AI solutions?

   • ATo guarantee that AI systems are always correct and never make mistakes
   • BTo reduce the cost of AI deployment by minimizing the need for human oversight
   • CTo maximize the performance and accuracy of AI models regardless of other considerations
   • DTo ensure that AI systems are developed and used in ways that are ethical, transparent, and aligned with human values
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A bank is deploying an AI system to approve small business loans. Historical data shows that loan approval rates are significantly lower for businesses owned by certain demographic groups. The bank wants to ensure the AI system treats all applicants fairly. Which approach best addresses fairness in this context?

   • AUse a more complex model to capture subtle patterns in the data, assuming it will be more accurate and therefore fairer.
   • BRemove demographic attributes from the training data and retrain the model.
   • CDefine fairness metrics, measure the model's performance across demographic groups, and adjust the model or data to reduce disparities.
   • DRely on the historical data as ground truth, since it reflects real-world lending decisions.
   Reveal Solution Discussion Select an answer first