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[Avoiding Harm] Quizzes!
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{quiz, id: avoiding_harm_overall, attempts: 10} | ||
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## Avoiding Harm - Overall Quiz | ||
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? Which of the following is TRUE? | ||
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a) Unintended harm is okay because it wasn't intended | ||
b) AI systems are unbiased and should be used to address human biases | ||
C) Evaluate new AI tools for biases throughout its development and use | ||
d) AI tools are accessible and useful in an equitable sense | ||
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? What is one potential issue with using AI systems that lack interpretability? | ||
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A) It can be unclear why the system made a certain decision | ||
b) The systems always behave as expected | ||
c) There are no risks associated with using them | ||
d) They cannot be trusted for any applications | ||
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? According to the material, what should be considered at every stage of AI system development and use? | ||
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a) Funding sources | ||
b) Model usage | ||
C) Ethical implications | ||
d) Marketing strategies | ||
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? What can help reduce issues with faulty AI responses? | ||
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a) Never questioning the accuracy of AI responses | ||
b) Relying completely on AI tools without human review | ||
c) Assuming AI tools reflect current best practices | ||
D) Cross-checking responses from multiple AI tools | ||
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? Why is transparency important when using AI systems? | ||
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a) It builds user trust in the systems | ||
b) It facilitates public monitoring and feedback | ||
c) It enables better understanding of AI-assisted decisions | ||
D) All of the above | ||
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? What should be done to mitigate algorithmic bias? | ||
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a) Nothing, AI systems are inherently unbiased | ||
B) Train models on more diverse and inclusive data | ||
c) Disable safety checks that restrict harmful content | ||
d) Rely completely on AI systems for decision-making | ||
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? What helps ensure user compliance to standards for AI use? | ||
a) Complex, frequently changing policies | ||
b) Generic training materials | ||
c) Self-education by users | ||
D) Relevant training content | ||
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{/quiz} |
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{quiz, id: societal_impact, attempts: 10} | ||
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## Societal Impact Quiz | ||
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? Which of the following is NOT considered a major ethical consideration discussed in the material? | ||
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a) Security and privacy issues | ||
b) Climate impact | ||
C) Efficiency of the AI project | ||
d) Inadvertent harm | ||
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? What does the concept of "AI paternalism" refer to? | ||
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A) Trusting an AI system over human judgment or patient experiences in healthcare | ||
b) The use of AI systems as replacements for human parents | ||
c) Regulations restricting the development of advanced AI systems | ||
d) Biases inherent in AI systems against certain groups | ||
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? According to the material, which of the following can help reduce potential harms from AI systems? | ||
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a) Assuming AI systems will behave as expected in all situations | ||
b) Implementing new AI solutions quickly without extensive testing | ||
c) Avoiding transparency about AI system development | ||
D) Involving diverse perspectives in discussions of intended uses | ||
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{/quiz} |
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{quiz, id: algorithms, attempts: 10} | ||
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## Algorithms Quiz | ||
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? What is one potential issue with using AI systems that lack interpretability? | ||
A) It can be unclear why the system made a certain decision | ||
b) The systems always behave as expected | ||
c) There are no risks associated with using them | ||
d) They cannot be trusted for any applications | ||
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? According to the material, which of the following can help reduce issues with faulty AI responses? | ||
a) Never questioning the accuracy of AI responses | ||
b) Relying completely on AI tools without human review | ||
c) Assuming AI tools reflect current best practices | ||
D) Cross-checking responses from multiple AI tools | ||
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? What does the term "hallucinate" refer to in the context of AI systems? | ||
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a) AI systems having visions or dreams | ||
B) AI systems making up information based on artifacts of their algorithms | ||
c) AI systems malfunctioning due to hardware issues | ||
d) AI systems being trained on datasets containing hallucinogens | ||
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? What recent real-world example demonstrates issues with faulty AI responses? | ||
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a) AI systems spreading misinformation on social media | ||
b) An AI system beating the world chess champion | ||
C) A website banning AI-generated code that provided incorrect answers | ||
d) AI systems writing biased news articles | ||
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{/quiz} |
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{quiz, id: adherence, attempts: 10} | ||
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## Adherence Quiz | ||
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? According to the material, what is one benefit of starting slow when implementing AI systems? | ||
A) It allows time to understand how the systems work | ||
b) It eliminates any possible unexpected consequences | ||
c) It speeds up the rollout to more users | ||
d) There are no benefits to starting slow | ||
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? What does the material recommend related to copyright when using AI systems? | ||
a) Assume AI-generated content does not violate any copyright | ||
B) Obtain permission to use copyrighted content used for training | ||
c) Never citing sources used by AI systems | ||
d) Waiting to address copyright issues until after system launch | ||
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? According to the material, what can help ensure individuals comply with ethical standards for AI system use? | ||
a) Complex policies that frequently change | ||
b) Training materials not tailored to actual use cases | ||
c) Relying on users to educate themselves | ||
D) Education emphasizing relevance and fundamentals | ||
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{/quiz} |
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{quiz, id: consent, attempts: 10} | ||
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## Consent and AI Quiz | ||
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? Why is obtaining meaningful consent tricky with AI systems? | ||
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a) Users readily understand all the risks of providing their data | ||
b) The risks associated with data collection are static and known | ||
c) AI systems anonymize all collected data | ||
D) The potential risks to users change dynamically over time | ||
? Which of the following are concerns with data collection and AI? | ||
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a) Accountability | ||
b) Data persistence | ||
c) Data reuse | ||
D) All of the above | ||
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? Which of the following technologies has been an especially debated topic in relation to consent in the EU? | ||
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a) Speech recognition | ||
B) Live Facial recognition | ||
c) Object detection | ||
d) Machine translation | ||
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? What is data spillover? | ||
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A) A situation where data collection happens accidentally for other individuals in collecting data for intended people | ||
b) When datasets are too large that the AI system fails | ||
c) When datasets are too large that too many resources are used to support computing | ||
d) The deliberate collection of data not specified in an individual's consent agreement | ||
{/quiz} |
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{quiz, id: idare_and_ai, attempts: 10} | ||
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## IDARE and AI Quiz | ||
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? What does the acronym IDARE stand for? | ||
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A) Inclusion, Diversity, Anti-Racism, and Equity | ||
b) Intelligence, Data, Algorithms, Research, Engineering | ||
c) Interfaces, Developers, Administrators, Regulators, End-users | ||
d) Identification, Development, Assessment, Regulation, Evaluation | ||
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? Why can bias occur in AI systems? | ||
A) Humans and human-created data are inherently unbiased | ||
b) AI systems are intentionally designed to discriminate | ||
c) The training data for AI systems is too diverse in representation | ||
d) Bias only occurs when using unsupervised learning | ||
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? What example demonstrates an AI system perpetuating existing biases? | ||
a) An AI system beating a human at chess | ||
b) AI-written articles discussing IDARE principles | ||
c) Algorithms that help flag medical images for further review based on patient reported pain | ||
D) Chatbots giving biased answers that lack diverse perspectives to users | ||
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? What does the material recommend regarding using AI for employment decisions? | ||
a) AI should be fully relied upon to make unbiased choices | ||
b) Humans should have final say but AI can select a small number of resumes to evaluate without any potential bias issues | ||
C) AI is not appropriate for use in employment decisions with our current systems | ||
d) Guidelines are unnecessary as bias is no longer an issue | ||
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{/quiz} |
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{quiz, id: ethical_process, attempts: 10} | ||
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## Ethical Process Quiz | ||
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? When should ethical considerations occur according to the proposed framework? | ||
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a) Only after an AI system is already in use | ||
b) At the beginning of during development only | ||
c) Just before an AI system is deployed | ||
D) Throughout the entire process of development and use | ||
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? What is NOT a consideration when reflecting on AI use during the inception of an idea? | ||
a) What training datasets are a reasonable size | ||
b) What would the impact be if the AI system performed poorly | ||
c) Whether AI is actually appropriate for the use case | ||
d) How you could be more efficient and implement faster | ||
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? What is needed after an AI system is launched according to the material? | ||
a) The system should not change after launch | ||
b) Occasional spot checks for issues | ||
c) Fixes only if users report problems | ||
D) Continual audit for unexpected and problematic behaviors | ||
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{/quiz} |
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