Questões de Concurso
Comentadas sobre interpretação de texto | reading comprehension em inglês
Foram encontradas 9.238 questões
Analyse the assertions below based on the text:
I. Lawmakers tend to be quite sensitive to social demands.
II. Natural language-based approaches are liable to ambiguity.
III. The authors state that they eschew large corpora in their study.
Choose the correct answer:
( ) Diachronic studies are required for the study of the interaction between law and society.
( ) The studies of legal change and those of societal change have had an equivalent number of quantitative approaches.
( ) Legal scholars have traditionally applied data science methods to study the history of change.
The statements are, respectively,
( ) Deepfakes are circumscribed to certain areas of action.
( ) The sole aim of deepfake technology is to spread misinformation.
( ) Evidence shows that even high-ranking executives can be easy targets to vishing techniques.
The statements are, respectively:
READ THE TEXT AND ANSWER THE QUESTION:
Chatbots could be used to steal data, says cybersecurity agency
The UK’s cybersecurity agency has warned that there is an increasing risk that chatbots could be manipulated by hackers.
The National Cyber Security Centre (NCSC) has said that individuals could manipulate the prompts of chatbots, which run on artificial intelligence by creating a language model and give answers to questions by users, through “prompt injection” attacks that would make them behave in an unintended manner.
The point of a chatbot is to mimic human-like conversations, which it has been trained to do through scraping large amounts of data. Commonly used in online banking or online shopping, chatbots are generally designed to handle simple requests.
Large language models, such as OpenAI’s ChatGPT and Google’s AI chatbot Bard, are trained using data that generates human-like responses to user prompts. Since chatbots are used to pass data to third-party applications and services, the NCSC has said that risks from malicious “prompt injection” will grow.
For instance, if a user inputs a statement or question that a language model is not familiar with, or if they find a combination of words to override the model’s original script or prompts, the user can cause the model to perform unintended actions.
Such inputs could cause a chatbot to generate offensive content or reveal confidential information in a system that accepts unchecked input.
According to the NCSC, prompt injection attacks can also cause real world consequences, if systems are not designed with security. The vulnerability of chatbots and the ease with which prompts can be manipulated could cause attacks, scams and data theft. The large language models are increasingly used to pass data to third-party applications and services, meaning the risks from malicious prompt injection will grow.
The NCSC said: “Prompt injection and data poisoning attacks can be extremely difficult to detect and mitigate. However, no model exists in isolation, so what we can do is design the whole system with security in mind.”
The NCSC said that cyber-attacks caused by artificial intelligence and machine learning that leaves systems vulnerable can be mitigated through designing for security and understanding the attack techniques that exploit “inherent vulnerabilities” in machine learning algorithm.
Adapted from: The Guardian, Wednesday 30 August 2023, page 4.
READ THE TEXT AND ANSWER THE QUESTION:
Chatbots could be used to steal data, says cybersecurity agency
The UK’s cybersecurity agency has warned that there is an increasing risk that chatbots could be manipulated by hackers.
The National Cyber Security Centre (NCSC) has said that individuals could manipulate the prompts of chatbots, which run on artificial intelligence by creating a language model and give answers to questions by users, through “prompt injection” attacks that would make them behave in an unintended manner.
The point of a chatbot is to mimic human-like conversations, which it has been trained to do through scraping large amounts of data. Commonly used in online banking or online shopping, chatbots are generally designed to handle simple requests.
Large language models, such as OpenAI’s ChatGPT and Google’s AI chatbot Bard, are trained using data that generates human-like responses to user prompts. Since chatbots are used to pass data to third-party applications and services, the NCSC has said that risks from malicious “prompt injection” will grow.
For instance, if a user inputs a statement or question that a language model is not familiar with, or if they find a combination of words to override the model’s original script or prompts, the user can cause the model to perform unintended actions.
Such inputs could cause a chatbot to generate offensive content or reveal confidential information in a system that accepts unchecked input.
According to the NCSC, prompt injection attacks can also cause real world consequences, if systems are not designed with security. The vulnerability of chatbots and the ease with which prompts can be manipulated could cause attacks, scams and data theft. The large language models are increasingly used to pass data to third-party applications and services, meaning the risks from malicious prompt injection will grow.
The NCSC said: “Prompt injection and data poisoning attacks can be extremely difficult to detect and mitigate. However, no model exists in isolation, so what we can do is design the whole system with security in mind.”
The NCSC said that cyber-attacks caused by artificial intelligence and machine learning that leaves systems vulnerable can be mitigated through designing for security and understanding the attack techniques that exploit “inherent vulnerabilities” in machine learning algorithm.
Adapted from: The Guardian, Wednesday 30 August 2023, page 4.
READ THE TEXT AND ANSWER THE QUESTION:
Chatbots could be used to steal data, says cybersecurity agency
The UK’s cybersecurity agency has warned that there is an increasing risk that chatbots could be manipulated by hackers.
The National Cyber Security Centre (NCSC) has said that individuals could manipulate the prompts of chatbots, which run on artificial intelligence by creating a language model and give answers to questions by users, through “prompt injection” attacks that would make them behave in an unintended manner.
The point of a chatbot is to mimic human-like conversations, which it has been trained to do through scraping large amounts of data. Commonly used in online banking or online shopping, chatbots are generally designed to handle simple requests.
Large language models, such as OpenAI’s ChatGPT and Google’s AI chatbot Bard, are trained using data that generates human-like responses to user prompts. Since chatbots are used to pass data to third-party applications and services, the NCSC has said that risks from malicious “prompt injection” will grow.
For instance, if a user inputs a statement or question that a language model is not familiar with, or if they find a combination of words to override the model’s original script or prompts, the user can cause the model to perform unintended actions.
Such inputs could cause a chatbot to generate offensive content or reveal confidential information in a system that accepts unchecked input.
According to the NCSC, prompt injection attacks can also cause real world consequences, if systems are not designed with security. The vulnerability of chatbots and the ease with which prompts can be manipulated could cause attacks, scams and data theft. The large language models are increasingly used to pass data to third-party applications and services, meaning the risks from malicious prompt injection will grow.
The NCSC said: “Prompt injection and data poisoning attacks can be extremely difficult to detect and mitigate. However, no model exists in isolation, so what we can do is design the whole system with security in mind.”
The NCSC said that cyber-attacks caused by artificial intelligence and machine learning that leaves systems vulnerable can be mitigated through designing for security and understanding the attack techniques that exploit “inherent vulnerabilities” in machine learning algorithm.
Adapted from: The Guardian, Wednesday 30 August 2023, page 4.
( ) Chatbots have been trained to emulate human communication.
( ) Problems in cybersecurity have ceased to exist.
( ) Control over confidential data is still at risk.
The statements are, respectively:
• Get enough sleep. Good sleep improves your brain performance, mood and overall health. Consistently poor sleep is associated with anxiety, depression, and other mental health conditions.
I. The structure “there are new tools” is in the Simple Past Tense.
II. The structure “evidence-based treatments”is a nominal group connected to “social support systems that help people feel better” and the headnoun is “systems”.
III. The word “pursue” can be replace by “seek”.
IV. In the expression “that help people feel better” it refers to “social support systems”, “evidence-based treatments” and “new tools”.
Which ones are correct?
• Get enough sleep. Good sleep improves your brain performance, mood and overall health. Consistently poor sleep is associated with anxiety, depression, and other mental health conditions.
Julgue o item subsequente.
Proficient interpretation of texts necessitates a
meticulous analysis of contextual elements. Unraveling
the intricacies of the setting, cultural background, and
historical context enhances readers' ability to discern
implicit meanings, tones, and underlying messages within
diverse written materials.
Julgue o item subsequente.
A nuanced understanding of literary devices is paramount
in text interpretation. Identifying and comprehending
metaphors, similes, and symbolism enriches the reader's
experience by revealing layers of meaning beneath the
surface of the text. This skillful interpretation unveils the
author's artistic choices and contributes to a deeper
appreciation of the written work.
Julgue o item subsequente.
Central to effective text interpretation is the discernment
of the author's purpose and perspective. Scrutinizing
linguistic choices, tonal variations, and structural
elements provides valuable insights into the author's
intentions, allowing readers to engage meaningfully with
the material and appreciate the text's overarching
significance.
Read Text II and answer the question that follows.
Text II
June 15, 2023 - Debates over Diversity, Equity and Inclusion (DEI) efforts are currently thriving, including debates over the degree to which corporate diversity efforts are valuable, whether chief diversity officers can succeed, and whether corporate diversity commitments can produce lasting change.
Over the past year, at least a dozen U.S. state legislatures have proposed or passed laws targeting DEI efforts, including laws aimed at limiting DEI roles and efforts in businesses and higher education and laws eliminating DEI spending, trainings, and statements at public institutions. Moreover, with the U.S. Supreme Court poised to address affirmative action in two cases involving the consideration of race in higher education admissions this summer, debates in the U.S. regarding DEI initiatives are likely far from over.
At the same time, DEI-related legal requirements continue to grow in other jurisdictions, and with global financial institutions facing expanding environmental, social, and governance (ESG)- related trends and regulations in the EU and other jurisdictions, as well as global expectations regarding their role in ESG, including DEI-related corporate developments and initiatives, these matters are likely to continue to work their way into capital allocations and the costs of doing business, as well as into the expectations of certain stakeholders.
This widening gap between global expectations and regulation regarding DEI-related matters and the concerns of some constituents in the U.S. over the role of DEI in corporate decision-making is likely to continue growing for the foreseeable future, putting companies between the proverbial rock and hard place.
What these developments make clear is that corporate DEI efforts are, and likely have been for some time, riskier than many companies may initially appreciate. And the risks associated with DEI initiatives are only positioned to grow and expand as companies look to thread the DEI needle and make a broader and potentially more divergent set of stakeholders happy, or at least less annoyed, with their DEI-related commitments and initiatives. In this article, we discuss the top four legal risks that companies often fail to address in their DEI efforts.
[…]
(From https://www.reuters.com/legal/legalindustry/diversity-matters-four-scarylegal-risks-hiding-your-dei-program-2023-06-15/)
Read Text II and answer the question that follows.
Text II
June 15, 2023 - Debates over Diversity, Equity and Inclusion (DEI) efforts are currently thriving, including debates over the degree to which corporate diversity efforts are valuable, whether chief diversity officers can succeed, and whether corporate diversity commitments can produce lasting change.
Over the past year, at least a dozen U.S. state legislatures have proposed or passed laws targeting DEI efforts, including laws aimed at limiting DEI roles and efforts in businesses and higher education and laws eliminating DEI spending, trainings, and statements at public institutions. Moreover, with the U.S. Supreme Court poised to address affirmative action in two cases involving the consideration of race in higher education admissions this summer, debates in the U.S. regarding DEI initiatives are likely far from over.
At the same time, DEI-related legal requirements continue to grow in other jurisdictions, and with global financial institutions facing expanding environmental, social, and governance (ESG)- related trends and regulations in the EU and other jurisdictions, as well as global expectations regarding their role in ESG, including DEI-related corporate developments and initiatives, these matters are likely to continue to work their way into capital allocations and the costs of doing business, as well as into the expectations of certain stakeholders.
This widening gap between global expectations and regulation regarding DEI-related matters and the concerns of some constituents in the U.S. over the role of DEI in corporate decision-making is likely to continue growing for the foreseeable future, putting companies between the proverbial rock and hard place.
What these developments make clear is that corporate DEI efforts are, and likely have been for some time, riskier than many companies may initially appreciate. And the risks associated with DEI initiatives are only positioned to grow and expand as companies look to thread the DEI needle and make a broader and potentially more divergent set of stakeholders happy, or at least less annoyed, with their DEI-related commitments and initiatives. In this article, we discuss the top four legal risks that companies often fail to address in their DEI efforts.
[…]
(From https://www.reuters.com/legal/legalindustry/diversity-matters-four-scarylegal-risks-hiding-your-dei-program-2023-06-15/)
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