- Học kỳ
- SP2026
- Thời Gian
- 3/5/26
- Loại tài liệu
- FE
ITE303c SP26 FE RE
Câu 1: Choose 1 answer Multiple ChoiceIf an Al system causes damages to third persons...
Câu 2: Choose 1 answer Multiple ChoiceWhat is a tradeoff involved in deciding who to protect from algorithmic bias?
- A. nobody will be held civilly liable as Al systems do not have a will and therefore a conscience for their actions
- B. the responsibility of Al's action is always transferred to the human user, who always must take reasonable attention in using this type of technology
- C. by virtue of the concept of strict liability even in absence of a will and consciousness, the Al system itself will be held civilly liable, to the extent it is a self-learning one acting on the bases of automated decision-making processes
- D. by virtue of the concept of strict liability, the manufacturer or programmer or user might be held liable, also in consideration of the risk connected to the usage of the Al system at issue
Câu 3: Choose 1 answer Multiple ChoicePredictive loops in marketplace models like dating apps are especially susceptible to bias due to
- A. Protecting all demographic groups equally, sacrificing overall model accuracy
- B. Prioritizing the majority group to maximize accuracy, potentially perpetuating bias against minority groups
- C. Ignoring fairness considerations to ensure model interpretability
- D. Excluding certain groups from protection to speed up the model training process
Câu 4: Choose 1 answer Multiple ChoiceA "purposefully biased" algorithm used to identify unfair attributes is known as
- A. fairness quotients
- B. marketplace forces
- C. short feedback cycles
- D. engagement levels
Câu 5: Choose 1 answer Multiple ChoiceIntellectual property rights are extremely important for enterprises as they allow to enhance any creative works the companies have invested in, taking full control over their usage, distribution and dissemination
- A. an adversarial algorithm
- B. a predictive model
- C. a discriminatory algorithm
- D. an aggregate algorithm
Câu 6: Choose 1 answer Multiple ChoiceA model can still be unfair even though it won't explicitly know which groups are being inputted into the system
- A. True
- B. False
Câu 7: Choose 1 answer Multiple ChoiceWhat does it mean to use fairness as a modeling concept in machine learning?
- A. false-negative optimized
- B. blind attribute
- C. single attribute
- D. biased training
Câu 8: Choose 1 answer Multiple ChoiceError rate parity means an equal chance of
- A. Prioritizing accuracy over fairness to achieve optimal outcomes
- B. Incorporating fairness considerations into the model development process
- C. Ignoring demographic factors to simplify model training
- D. Exclusively focusing on protecting historically disadvantaged groups
Câu 9: Choose 1 answer Multiple ChoiceAs a cognitive bias, humans see lack of context/meaning around a piece of information and tend to
- A. mistakes made for each group
- B. prediction rate for each group
- C. approval for each group
- D. outcomes for each group
Câu 10: Choose 1 answer Multiple ChoiceWhich type of fairness would make sense when dividing tickets evenly between groups?
- A. disagree with their previous beliefs
- B. seek authority figures
- C. fill in gaps with existing knowledge
- D. use biased sources of research
Câu 11: Choose 1 answer Multiple ChoiceIn a real-world scenario, what is a potential solution to address fairness issues related to disparate impact?
- A. error rate parity
- B. equality of prediction rate
- C. statistical parity
- D. equality of false positives
Câu 12: Choose 1 answer Multiple ChoiceThe moral dilemma...
- A. Ignoring fairness considerations to maintain high accuracy
- B. Balancing false positives and false negatives across demographic categories
- C. Prioritizing certain demographic groups over others for better outcomes
- D. Continuing with the deployment without addressing fairness concerns
Câu 13: Choose Multiple answersTo be patentable an invention must meet the following requirements:
- A. Regards the criteria for determining who, between man and machine, should be sanctioned when Al commits an offence
- B. Concerns how to establish and set criteria for Al to choose how to act when the choice impacts on human life
- C. Is a false problem, as despite many cultural differences, there is a universal morality worldwide
Câu 14: Choose 1 answer Multiple ChoiceAn example of a public dataset at risk of an algorithmic privacy violation is the
- A. It must be an intellectual property, be new (ie, not already available to the public), be created by a human being, have patrimonial rights in it
- B. It must be new (i.e. not already available to the public), involve an inventive step, have an industrial application
- C. It must be new (i.e. not already available to the public), be created by a human being, have an industrial application
- D. It must be novel, it must not be obvious or easily deducible by a professional of the sector, it must be susceptible to industrial application
Câu 15: Choose 1 answer Multiple ChoiceThe machine learning algorithms need to have the inbuilt capability to explain their logic, define their _____ and specify a clear understanding of their future behaviour.
- A. Google search view dataset
- B. Fidelity Bank lending dataset
- C. Google Maps satellite view dataset
- D. Stanford hospital dataset
Câu 16: Choose 1 answer Multiple ChoiceIn the context of privacy, what role does data encryption play in machine learning?
- A. Strengths/Weaknesses
- B. Drawbacks
Câu 17: Choose Multiple answersWhich of the following are the goals of Al?
- A. Encrypting data is irrelevant to privacy concerns in machine learning.
- B. Data encryption ensures that all model predictions are fully transparent.
- C. Encrypting data helps protect sensitive information during data transmission and storage.
- D. Privacy considerations do not involve securing data through encryption methods.
Câu 18: Choose 1 answer Multiple ChoiceWhat is a potential drawback of black box models concerning trust and accountability?
- A. To Create Express Systems
- B. To Implement Human Intelligence in Machines
- C. To Create machine with emotions
- D. To solve highly complex problems
Câu 19: Choose 1 answer Multiple Choicea non-sensitive column can endanger user privacy
- A. Black box models are always more trustworthy due to their complexity.
- B. Understanding the decision-making process in black box models can be challenging, impacting trust.
- C. Black box models are inherently more accountable for their predictions
- D. Trust and accountability are not relevant considerations for black box models.
Câu 20: Choose 1 answer Multiple ChoiceA set of governing morals and principles is called
- A. True
- B. false
Câu 21: Choose 1 answer Multiple ChoiceWhat is a potential consequence of algorithmic privacy violations?
- A. Ethics
- B. Augmented System
- C. Bias
- D. Customised system
- E. State-of-theart
Câu 22: Choose 1 answer Multiple ChoiceThe following are the risks in developing Al's EXCEPT
- A. Increased transparency in data handling
- B. Improved data accuracy in the model
- C. Unauthorized access to sensitive information
- D. Enhanced model interpretability
Câu 23: Choose 1 answer Multiple ChoiceThe goal of differential privacy is ensure that the output of a predictive model should not change if the _____ is either included or excluded in the training set.
- A. Loss of job
- B. Fraud detection
- C. Distribution of power
- D. Cost of maintenance and repair
Câu 24: Choose 1 answer Multiple ChoiceAn adversarial model relies on using _____ to observe different outputs
- A. model fairness score
- B. individual's data
- C. dataset filter
- D. biased dataset
Câu 25: Choose 1 answer Multiple ChoiceA glass box model is traditionally preferred by businesses
- A. pressure inputs
- B. algorithm detection
- C. perturbed inputs
- D. sensitive columns
Câu 26: Choose 1 answer Multiple ChoiceHow are predictive models used in hedge funds?
- A. True
- B. False
Câu 27: Choose 1 answer Multiple ChoiceA good example of cultural reflection in training data is
- A. They provide predictions to shareholders to estimate returns
- B. They predict future movement of stocks and find points to exploit the market moving in either direction
- C. They aid researchers by forecasting financial collapse
- D. They predict whether people will be able to pay off loans, and then provide loans
Câu 28: Choose 1 answer Multiple ChoiceIn which of the following everyday applications is machine learning commonly employed?
- A. a predictive model incorporates training data from a variety of sources
- B. a model fails to recognize cultural differences due to incorrect attributes
- C. an image recognition model selects one face over another based on sample data
- D. a model selects for one demographic less often because of their historical representation
Câu 29: Choose 1 answer Multiple ChoiceWe can assume that Al-related technology is driving a kind of new industrial revolution
- A. Cooking recipes
- B. Social media content moderation
- C. Car maintenance
- D. Planting a garden
Câu 30: Choose 1 answer Multiple ChoiceWhat is the purpose of dropout regularization in neural networks?
- A. True
- B. False
Câu 31: Choose 1 answer Multiple ChoiceA fact of learning algorithms is that
- A. To randomly drop input features during training
- B. To prevent overfitting by randomly deactivating neurons during training
- C. To introduce noise into the dataset for better generalization
- D. To speed up the training process by skipping certain iterations
Câu 32: Choose 1 answer Multiple ChoiceIn what way do navigation apps like Google Maps incorporate machine learning?
- A. even if you haven't shared an direct datapoint about yourself, with enough related datapoints the algorithm can make an educated guess with alarming accuracy
- B. just because they are capable of improving outputs, they don't need more inputs
- C. they only learn when given small amounts of data, and without the proper training sample, the results can be wildly inaccurate
- D. they cannot make predictions with current technology
Câu 33: Choose 1 answer Multiple ChoiceA type of artificial intelligence that outperforms humans in all tasks is known as
- A. Providing directions based on a fixed schedule
- B. Offering the same route regardless of traffic conditions
- C. Analyzing real-time traffic data to suggest the fastest route
- D. Ignoring alternate routes and shortcuts
Câu 34: Choose 1 answer Multiple ChoiceTo measure a predictive model's accuracy, you
- A. Encompassing Al
- B. Outwit Al
- C. Specific Al
- D. General Al
Câu 35: Choose Multiple answersFrom a civil liability perspective, if an Al system act as an agent:
- A. divide the number of correct predictions by the total number of predictions
- B. divide the number of predictions by the total dataset
- C. multiply the number of total predictions by the percentage of correct predictions
- D. measure the ratio of the model's error curve
Câu 36: Choose 1 answer Multiple ChoiceWhat side effect of learning algorithms creates an ethical dilemma for its users?
- A. The existing legal framework on product liability applies
- B. There is a regulatory gap that can in no way be filled (even partially) with the current legal framework
- C. Pursuant to the European Parliament Resolution on Al issued in 2020, any national legal framework on product liability will no longer be applicable as two measures will be applied in all the EU member States, that are (i) the insurance on any Al machine and (ii) the provision of economic caps for the compensation of damages
- D. Pursuant to the European Parliament Resolution on Al issued in 2020, legislation on the matter must be uniformed allocating the responsibility of damages caused by Al systems on those who can exercise control over the them, without however totally repealing the national regulations on product liability currently in force
Câu 37: Choose 1 answer Multiple ChoiceOur goals for building an ethical predictive model include making sure the results are
- A. Learning algorithms require large amounts of computing power, which is bad for the environment
- B. Learning algorithms require government regulation, which is bad for software developers
- C. Learning algorithms are costly to run, which drives up prices for consumer services
- D. Learning algorithms require large datasets, which means storing identifying information about users
Câu 38: Choose 1 answer Multiple ChoiceWhat is a recommended practice for addressing bias in a real-world scenario when deploying a machine learning model?
- A. accurate, precise, fair
- B. precise, methodical, ethical
- C. precise, explainable, predictable
- D. accurate, fair and explainable
Câu 39: Choose 1 answer Multiple ChoiceIn the context of real-world fairness analysis, what is the significance of intersectional fairness?
- A. Ignoring bias concerns to expedite model deployment
- B. Continuously monitoring and updating the model to address biases
- C. Assuming that bias is unavoidable and does not need mitigation
- D. Exclusively focusing on bias during the model development phase
Câu 40: Choose 1 answer Multiple ChoiceWhat is foreseeability?
- A. Intersectional fairness is irrelevant in real-world scenarios.
- B. It involves considering the impact of multiple intersecting demographic attributes.
- C. Intersectional fairness only applies to binary classification problems.
- D. Ignoring the interplay of different demographic factors improves model simplicity.
Câu 41: Choose 1 answer Multiple ChoiceWhich of the following frameworks primarily promotes human rights?
- A. The ability to predict the future
- B. To describe responsible action
- C. To have freedom of action
- D. To be able to know the consequences of action
Câu 42: Choose 2 answers Multiple ChoiceWhich of the following are requirements set forth by the Biometric Information Privacy Act (BIPA)?
- A. The Asilomar Al Principles
- B. The Beijing Al Principles
- C. The Toronto Declaration
- D. The Montreal Declaration
Câu 43: Choose 1 answer Multiple ChoiceWhat is moral responsibility?
- A. Organizations must destroy biometric data in a timely fashion.
- B. Organizations must not transmit biometric data across an unsecured network like the Internet.
- C. Organizations must store biometric data in local, on-premises databases.
- D. Organizations must obtain consent from individuals regarding the collection and use of biometric data.
Câu 44: Choose 1 answer Multiple ChoiceHow does the "virtuous cycle" that benefits Big Tech operate?
- A. It corresponds to liability
- B. It means to be accountable for our actions and the effects of these actions
- C. It means to adopt a moral theory describing responsibility
- D. It is an ethical approach in professional life
Câu 45: Choose 1 answer Multiple ChoiceIn a fictional scenario using game theory fairness analysis, what is the significance of "fair division" strategies?
- A. By acting virtuous, the public respects Big Tech more and more.
- B. Organizations write algorithms with fewer biases, which leads to fairer outcomes.
- C. Data-driven algorithms improve solutions, leading to new customers, and better data.
- D. Better classes of customers lead to richer and more refined data for algorithmic systems.
Câu 46: Choose 1 answer Multiple ChoiceHow do Al and other data-driven technologies use probability?
- A. Strategies that prioritize unequal distribution for competitive advantage
- B. Strategies that ensure an equal and fair distribution of resources or outcomes
- C. Ignoring any division strategies for simplicity
- D. Strategies that favor a single player over others for maximum profit
Câu 47: Choose 1 answer Multiple ChoiceHow can the concept of "Nash equilibrium" be applied in a fictional scenario involving game theory fairness analysis?
- A. By determining the objective likelihood of some event happening
- B. By estimating the likelihood of some event happening without input data
- C. By guaranteeing that some event will occur with 100% likelihood
- D. By providing a model of belief about the likelihood of some event happening
Câu 48: Choose 1 answer Multiple ChoiceWhat are the jobs that Al is most likely to displace over the next several years?
- A. By ensuring that players make decisions independently without considering each other
- B. By promoting collaboration among players to achieve the best possible outcome
- C. By finding a stable state where no player has an incentive to deviate from their chosen strategy
- D. By ignoring strategic interactions among players for simplicity
Câu 49: Choose 1 answer Multiple ChoiceWhich type of entity are the OECD Principles on Artificial Intelligence mostly geared towards?
- A. All jobs will be displaced
- B. Jobs that comprise primarily of non-routine, non-repetitive work
- C. Jobs that comprise primarily of routine, repetitive work
- D. Most jobs involving office work (white collar jobs)
Câu 50: Choose 1 answer Multiple ChoiceIn a fictional scenario involving game theory fairness analysis, how might the concept of "iterated dominance" be used to refine strategic choices?
- A. Municipal governments
- B. National governments
- C. Private corporations
- D. Individuals
- A. By consistently choosing the same dominant strategy throughout the game
- B. By iteratively eliminating strategies that are dominated by other available choices
- C. Iterated dominance has no relevance to strategic decision-making
- D. By alternating between dominant and dominated strategies to confuse opponents
Đính kèm
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