BABM3006 Crisis Management and Technology Quiz

How can data analytics enhance real-time decision-making in crisis scenarios?

• By reducing response times with predictive models.

• By identifying irrelevant data trends.

• By adding complexity to the decision-making process.

• By automating all decision-making entirely.

What ethical considerations should guide the development of AI systems for crisis management?

• Transparency and accountability.

• Prioritizing speed over fairness.

• Avoiding any regulatory oversight.

• Limiting stakeholder involvement.

How do you evaluate the trade-offs between automation efficiency and human oversight in high-stakes situations?

• Automation should completely replace human oversight.

• Human oversight ensures accountability but might slow response times.

• Automation is always superior to manual processes.

• Trade-offs do not exist as both work independently.

In what ways could IoT devices improve crisis preparedness and response?

• By providing real-time monitoring and data collection.

• By replacing existing communication systems entirely.

• By requiring constant manual supervision.

• By increasing privacy concerns without benefits.

What are the potential risks of using blockchain for managing sensitive data during a crisis?

• Enhanced transparency leading to improved trust.

• Vulnerabilities in cybersecurity if not properly managed.

• Reduced accessibility to data for authorized users.

• Complete elimination of any risks.

How can organizations foster stakeholder trust while implementing emerging technologies?

• By hiding technological capabilities and decisions.

• Through transparency, communication, and ethical guidelines.

• By avoiding feedback from stakeholders.

• By prioritizing rapid deployment over concerns.

What frameworks can be applied to assess the reliability of AI models in predicting crises?

• Ignoring reliability concerns as long as models are fast.

• Normal Accident Theory and High-Reliability Organization frameworks.

• Frameworks are irrelevant for assessing reliability.

• Relying solely on AI developers' assurances.

How do privacy regulations, like GDPR, impact the use of emerging technologies in crisis scenarios?

• They mandate robust data protection and compliance.

• They simplify the use of personal data without restrictions.

• They encourage organizations to bypass data privacy laws.

• They are irrelevant in crisis scenarios.

What strategies can mitigate the risks of cyber-attacks on automated crisis management systems?

How should leaders adapt their decision-making approaches to incorporate the strengths of emerging technologies?

• By ignoring traditional decision-making frameworks entirely.

• By combining agility, stakeholder input, and data-driven insights.

• By depending solely on automated solutions.

• By avoiding the use of new technologies.