Following the introduction of a virtual assistant to handle email composition, policy formulation, marketing content creation, and client inquiries, TempCorp, a temporary staffing firm, made the decision to terminate a significant portion of its staff. However, four months later, TempCorp was informed that four major clients opted not to renew their contracts due to the prevalence of inaccuracies in the work produced by the company. What are the specific repercussions that TempCorp has faced as a consequence of placing reliance on the virtual assistant?
AI Governance Quiz 1

Quiz
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Other
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Professional Development
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Hard
SUPHAWATCHARA MALANOND
Used 3+ times
FREE Resource
5 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Disinformation and reportable harm.
Economic and reputational harm.
Legal and regulatory harm.
Individual and societal harm.
Answer explanation
The scenario describes how inaccuracies in the work produced by the virtual assistant led directly to the loss of major clients. This would have a clear economic impact due to the loss of revenue from these clients. Furthermore, the non-renewal of contracts due to dissatisfaction with service quality would damage TempCorp's reputation in the industry, potentially affecting future business opportunities and client trust.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Simon Wong is responsible for implementing an AI governance program at his company, Spatacus Inc. Although the company has already deployed some AI systems, it has not thoroughly evaluated the associated risks. Consequently, the company wants to establish robust procedures and policies. Simon is conducting research on how to establish an effective AI governance program. He has consulted with the company's risk management professionals and legal department to determine the best approach. Simon understands that conducting an algorithmic impact assessment is vital for managing AI risks and adopting responsible, ethical AI practices, but he is unsure where to start. What initial steps should Simon take to ensure that the assessment is both appropriate and effective?
Inform staff members utilising the system of any required risk reduction.
Make use of an impact assessment that already exists and modify it to account for AI.
Verify that the company has obtained the necessary funds for the AI system.
Verify whether the relevant regulators have given the AI system its approval.
Answer explanation
Make use of an impact assessment that already exists and modify it to account for AI.
RATIONALE
Leveraging Existing Frameworks: Many organizations already have impact assessment processes in place for various projects or technologies. These frameworks can be a good starting point, providing a structure that can be adapted and tailored specifically for AI. This saves time and effort compared to building a completely new assessment from scratch.
Addressing AI-Specific Risks: Modifying an existing assessment allows Simon to focus on incorporating AI-specific risks and considerations. This might involve assessing factors like bias, fairness, transparency, and the potential for unintended consequences.
Practical and Efficient: This approach is more practical and efficient than starting from scratch. It also allows Simon to build upon existing knowledge and expertise within the company.
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
When appraising the efficacy of an AI system in fulfilling its objectives, which approach is most conducive to ensuring a comprehensive evaluation while circumventing automation bias?
Determine goal achievement by analyzing the AI system's results, offering a dependable and unbiased evaluation.
Assess your system's progress by comparing its performance to established targets, demonstrating the achievement of your goals.
Perform a comprehensive examination encompassing the AI system's input and output data, human understanding, and any additional or unforeseen outcomes.
Gather user opinions on the AI system's performance to directly assess how well it fulfils its objectives.
Answer explanation
Perform a comprehensive examination encompassing the AI system’s input and output data, human understanding, and any additional or unforeseen outcomes.
This approach allows for a holistic assessment of the AI system, including:
1. Input and Output Data Analysis: Evaluating both the data fed into the system and the results produced helps identify any biases or errors in the data and ensures the outputs are accurate and reliable.
2. Human Understanding: Incorporating human insights and contextual understanding ensures that the AI system’s results are interpreted correctly and aligns with human judgment and expectations.
3. Unforeseen Outcomes: Considering additional or unforeseen outcomes helps identify any unintended consequences or hidden biases that may not be immediately apparent but could impact the system’s overall effectiveness and ethical compliance.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the most effective way to respond to the situation where a regulatory body has ruled against the AI model used by certain features of your product?
Re-evaluate and re-deploy your AI model promptly to demonstrate the ability to adapt to the regulator's demands swiftly.
Develop an independent iteration of the application and release it to users located in the jurisdiction.
Cease the service within the jurisdiction to exert pressure on the regulator to prompt a change in their stance.
Introduce a feature flag to activate or deactivate features based on a user's country of origin.
Answer explanation
Introduce a feature flag to activate or deactivate features based on a user’s country of origin.
RATIONALE
Compliance: This approach directly addresses the regulatory body's concerns by ensuring that the prohibited AI model is not used within their jurisdiction.
Flexibility: Feature flags allow for granular control over which features are available in different regions. This means you can continue offering your product with other features in the affected jurisdiction.
Minimized Disruption: This solution avoids the need to completely re-engineer your AI model or halt services entirely, minimizing disruption to your business and users.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
As part of your responsibilities as an AI governance professional for a company developing an AI system for global markets, you are tasked with ensuring that the system complies with international regulatory requirements while processing personal data and making decisions that impact individuals' rights. In this context, which approach would best align with a thorough understanding of and compliance with AI regulatory requirements?
Keep in mind that while AI is adaptable worldwide, it is not required to comply with international regulations if the AI system conforms to local regulations of the nation where the company is based.
Pay special attention to the EU AI Act since it is the most comprehensive law, and adhering to it is likely to guarantee adhering to other international laws pertaining to AI.
Create a compliance plan based on the most stringent guidelines found in numerous laws, such as the GDPR, HIPAA, and EU AI Act, and combine them into a single compliance framework.
Adopt a compliance strategy customized to each region, modifying AI to satisfy local regulatory needs while ignoring overlaps or commonalities with global standards.
Answer explanation
Create a compliance plan based on the most stringent guidelines found in numerous laws, such as the GDPR, HIPAA, and EU AI Act, and combine them into a single compliance framework.
This approach offers several benefits:
1. Comprehensive Coverage: By basing the compliance plan on the strictest guidelines, you ensure that the AI system meets or exceeds the highest standards, reducing the risk of non-compliance in any jurisdiction.
2. Harmonization: A unified compliance framework helps streamline the process, reducing complexity and ensuring consistency in how the AI system handles personal data and decision-making across different regions.
3. Proactive Compliance: This approach demonstrates a commitment to best practices and ethical standards, which can enhance the company's reputation and build trust with users and regulators globally.
4. Flexibility and Scalability: A single, robust compliance framework can be more easily adapted to new regulations as they emerge, ensuring that the AI system remains compliant over time.
By adopting this strategy, the company can effectively navigate the complex landscape of international AI regulations, ensuring both legal compliance and the protection of individuals' rights.
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