Multiple Choice Questions
AI Ethics and Responsible Tech Development
Topic: AI Ethics and Responsible Tech Development
Grade: 12
Question 1:
Which of the following is an ethical concern related to AI technology?
a) Data privacy
b) Faster processing
c) Cost reduction
d) Increased productivity
Answer: a) Data privacy
Explanation: Data privacy is an important ethical concern related to AI technology. AI systems often require access to large amounts of data to function properly, and there is a risk of this data being misused or mishandled. For example, facial recognition technology that is used for surveillance purposes may violate individuals\’ privacy rights. Another example is the use of personal data collected by AI systems for targeted advertising without the users\’ consent, which raises concerns about data privacy and protection.
Question 2:
Which of the following is an example of responsible tech development?
a) Developing AI systems that can make autonomous decisions without human intervention
b) Conducting thorough testing and evaluation of AI systems before deployment
c) Using AI to manipulate public opinion
d) Developing AI systems that discriminate against certain groups
Answer: b) Conducting thorough testing and evaluation of AI systems before deployment
Explanation: Responsible tech development involves ensuring that AI systems are thoroughly tested and evaluated before they are deployed. This includes assessing the potential risks and biases associated with the AI system and taking steps to mitigate them. For example, before deploying an AI system for autonomous driving, extensive testing and evaluation must be conducted to ensure the system\’s safety and reliability. This may involve simulating various driving scenarios and analyzing the system\’s performance in each case.
Question 3:
Which of the following is a principle of responsible AI development?
a) Transparency
b) Efficiency
c) Profitability
d) Speed
Answer: a) Transparency
Explanation: Transparency is a principle of responsible AI development. It involves making the decision-making processes of AI systems understandable and explainable to users and stakeholders. For example, if an AI system recommends a certain course of action, it should be able to provide a clear explanation of how it arrived at that recommendation. This helps to build trust and accountability in AI systems and ensures that users are not blindly following recommendations without understanding the underlying reasoning.
Question 4:
Which of the following is a potential consequence of biased AI algorithms?
a) Improved decision-making
b) Equal opportunities for all
c) Reinforcing existing inequalities
d) Increased efficiency
Answer: c) Reinforcing existing inequalities
Explanation: Biased AI algorithms have the potential to reinforce existing inequalities in society. If the training data used to develop an AI algorithm is biased, it can lead to discriminatory outcomes. For example, if a job application screening AI system is trained on historical data that is biased against certain groups, it may unfairly discriminate against applicants from those groups. This can perpetuate existing inequalities and hinder efforts towards creating a more inclusive and fair society.
Question 5:
Which of the following laws promotes data protection and privacy in the European Union?
a) GDPR (General Data Protection Regulation)
b) HIPAA (Health Insurance Portability and Accountability Act)
c) CCPA (California Consumer Privacy Act)
d) FISMA (Federal Information Security Management Act)
Answer: a) GDPR (General Data Protection Regulation)
Explanation: The GDPR is a law in the European Union that promotes data protection and privacy. It sets out rules and regulations for how organizations handle and process personal data of individuals within the EU. The GDPR includes provisions for obtaining consent, the right to be forgotten, and the requirement to notify individuals in the event of a data breach. It aims to give individuals more control over their personal data and ensure that organizations handle it responsibly.
Question 6:
Which of the following is an example of ethical AI use?
a) Using AI to manipulate election results
b) Using AI to predict disease outbreaks
c) Using AI to discriminate against certain racial groups
d) Using AI to increase surveillance capabilities
Answer: b) Using AI to predict disease outbreaks
Explanation: Using AI to predict disease outbreaks is an example of ethical AI use. AI systems can analyze large amounts of data to identify patterns and trends that may indicate the emergence of a disease outbreak. This information can then be used to take proactive measures to prevent the spread of the disease and protect public health. For example, AI algorithms can analyze social media data, news reports, and healthcare records to detect early signs of an infectious disease outbreak.
Question 7:
Which of the following is a potential ethical concern related to AI-powered facial recognition technology?
a) Increased convenience in accessing personal devices
b) Infringement of privacy rights
c) Improved accuracy in identifying criminals
d) Enhanced security at public places
Answer: b) Infringement of privacy rights
Explanation: Facial recognition technology raises ethical concerns related to privacy rights. The use of this technology for surveillance purposes can infringe upon individuals\’ privacy by capturing and analyzing their facial features without their consent. For example, if facial recognition technology is used in public spaces without proper regulations, it can lead to mass surveillance and violation of privacy rights. This has raised concerns about the potential for abuse and misuse of this technology.
Question 8:
Which of the following is a principle of responsible tech development?
a) Maximizing profits
b) Speeding up development processes
c) Ensuring fairness and accountability
d) Minimizing costs
Answer: c) Ensuring fairness and accountability
Explanation: Responsible tech development involves ensuring fairness and accountability in the design, development, and deployment of AI systems. This means taking steps to mitigate biases, ensuring that AI systems are fair and do not discriminate against certain groups. It also involves being transparent and accountable for the decisions made by AI systems. For example, if an AI system is used for credit scoring, it should be able to provide clear explanations for the credit decisions it makes.
Question 9:
Which of the following laws addresses the ethical concerns related to the use of AI in autonomous weapons systems?
a) GDPR (General Data Protection Regulation)
b) HIPAA (Health Insurance Portability and Accountability Act)
c) FISMA (Federal Information Security Management Act)
d) CCW (Convention on Certain Conventional Weapons)
Answer: d) CCW (Convention on Certain Conventional Weapons)
Explanation: The CCW is an international arms control treaty that addresses the ethical concerns related to the use of AI in autonomous weapons systems. It aims to prevent the development, production, and deployment of weapons that can operate without human control. The treaty recognizes the need for human judgment and responsibility in the use of lethal force and seeks to ensure that decisions related to the use of force remain under human control.
Question 10:
Which of the following is an ethical concern related to AI bias?
a) Increased efficiency in decision-making
b) Improved accuracy in predictions
c) Discrimination against certain groups
d) Enhanced user experience
Answer: c) Discrimination against certain groups
Explanation: AI bias can lead to discrimination against certain groups. If the training data used to develop an AI algorithm is biased, it can result in unfair treatment or exclusion of certain individuals or groups. For example, if an AI system used for job screening is trained on historical data that is biased against certain racial or gender groups, it may perpetuate discrimination by unfairly rejecting applicants from those groups. This raises ethical concerns related to fairness and equal opportunities.
Question 11:
Which of the following is a potential consequence of biased AI algorithms in healthcare?
a) Improved patient outcomes
b) Increased healthcare costs
c) Health disparities among different populations
d) Efficient allocation of medical resources
Answer: c) Health disparities among different populations
Explanation: Biased AI algorithms in healthcare can result in health disparities among different populations. If the training data used to develop AI algorithms is biased, it can lead to unequal access to healthcare resources and services. For example, if an AI algorithm used for triaging patients is biased against certain racial or socioeconomic groups, it may result in delayed or inadequate care for those groups. This can exacerbate existing health disparities and inequities in healthcare.
Question 12:
Which of the following is a principle of responsible AI development?
a) Maximizing profits
b) Ensuring transparency and explainability
c) Speeding up development processes
d) Minimizing costs
Answer: b) Ensuring transparency and explainability
Explanation: Responsible AI development involves ensuring transparency and explainability of AI systems. This means that AI systems should be able to provide clear explanations for their decisions and actions. This helps to build trust and accountability in AI systems and allows users and stakeholders to understand and verify the reasoning behind AI-generated outcomes. For example, if an AI system recommends a certain treatment plan for a patient, it should be able to provide a clear explanation of how it arrived at that recommendation.
Question 13:
Which of the following laws addresses the ethical concerns related to the use of AI in autonomous vehicles?
a) GDPR (General Data Protection Regulation)
b) HIPAA (Health Insurance Portability and Accountability Act)
c) FISMA (Federal Information Security Management Act)
d) AVSTART Act (American Vision for Safer Transportation through Advancement of Revolutionary Technologies Act)
Answer: d) AVSTART Act (American Vision for Safer Transportation through Advancement of Revolutionary Technologies Act)
Explanation: The AVSTART Act addresses the ethical concerns related to the use of AI in autonomous vehicles. It aims to promote the development and deployment of autonomous vehicles while ensuring safety, privacy, and cybersecurity. The act includes provisions for testing and evaluation of autonomous vehicles, data sharing, and cybersecurity standards. It recognizes the need for responsible development and deployment of AI-powered autonomous vehicles to ensure public safety and trust in the technology.
Question 14:
Which of the following is an example of responsible tech development?
a) Developing AI systems that discriminate against certain groups
b) Ensuring transparency and accountability in AI decision-making
c) Maximizing profits at the expense of societal well-being
d) Speeding up development processes without proper testing
Answer: b) Ensuring transparency and accountability in AI decision-making
Explanation: Responsible tech development involves ensuring transparency and accountability in AI decision-making. This means that AI systems should be able to provide clear explanations for their decisions and actions. It also involves being accountable for the outcomes of AI systems and taking responsibility for any biases or errors. For example, if an AI system is used for credit scoring, it should be able to explain the factors that influenced the credit decision and provide a mechanism for users to challenge the decision if they believe it is unfair or biased.
Question 15:
Which of the following is a potential ethical concern related to AI-powered social media algorithms?
a) Improved user engagement and satisfaction
b) Enhanced content filtering and moderation
c) Amplification of misinformation and harmful content
d) Personalized recommendations and targeted advertising
Answer: c) Amplification of misinformation and harmful content
Explanation: AI-powered social media algorithms raise ethical concerns related to the amplification of misinformation and harmful content. These algorithms are designed to maximize user engagement and satisfaction, which can lead to the promotion and spread of sensationalized, misleading, or harmful content. For example, if an AI algorithm prioritizes content that generates more clicks or shares, it may inadvertently amplify false information or harmful content. This raises concerns about the impact of AI algorithms on public discourse, democratic processes, and individual well-being.