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Q2323115 Inglês
Technology And Innovation:
The Gateway To Development For Guyanese?



     We live in vulnerable energy times. The energy crisis, climate change and energy transition are all shaking and shaping the global future. “The energy realities of the world remind us that oil and gas will be here for decades to pivot a just, affordable and secure energy transition,” as John Hess, CEO of Hess Corporation, mentioned during the International Energy Conference and Expo in Guyana in February 2023.

2       As someone said, vulnerability is the birthplace of innovation and technology is the driving force behind progressive changes. Nevertheless, how can Guyana play a vital role in reordering energy security? “By embedding innovation earlier in the process, Guyana can skip several steps and avoid what most economies went through” this idea was emphasized several times during the same conference. “If we integrate innovation into Guyana’s process today, there might be some accelerated success.”

3      Guyana can play an essential role in balancing the global energy supply and demand markets and address the energy crisis by becoming a top crude oil producer globally. The goal is to become competitive in the global oil and gas market and this can be achieved by attracting and establishing partnerships with companies that can bring increased efficiency and productivity to the local oil and gas operations, from exploration and production to storage and transportation. For Guyana, this means that improvements in regulations, a transparent, secure and competitive environment for foreign investment, and incentives from the government can serve as catalysts for technology and innovation.

    Collaborating with universities and creating a business innovation hub mentality for young entrepreneurs with government support, like loan guarantees, grants, and tax credits, will also spur the industry.

5       Innovative technology will play a critical role in climate change. The oil and gas sector must reduce its emissions by at least 3.4 gigatons of CO2 equivalent a year by 2050 – a 90 % reduction in current emissions. Guyana today can become a world leader in setting a benchmark around flaring and it’s possible for the country to achieve zero-flare objective, because “from day one the right solutions and the right technologies were properly planned and properly positioned in order to enable the extraction and the production with almost zero carbon footprint”, as the Emissions Director at Schlumberger vocalized about a year ago.

     Innovations and technologies are key to the energy transition, from floating wind farms to solar photovoltaic farm developments, waste-to-fuel projects and green hydrogen, shaping Guyana’s energy transition and future. All this requires not only massive financial support but an innovationoriented and technology-friendly environment, with a strong emphasis on education, training and research. Nevertheless, the decision in Guyana on what technologies to adopt and how much to innovate will have a big impact on results over the long term and the government should base it on a clear vision and roadmap.


Available at: https://www.newsamericasnow.com/guyana-oil-
-technology-and-innovation-the-gate-way-to-development-
-caribbean-news/. Retrieved on: April 26, 2023. Adapted.
The segment of paragraph 2 “technology is the driving force behind progressive changes” means that technology
Alternativas
Q2322840 Inglês
Complex societies and the growth of the law


        Modern societies rely upon law as the primary mechanism to control their development and manage their conflicts. Through carefully designed rights and responsibilities, institutions and procedures, law can enable humans to engage in increasingly complex social and economic activities. Therefore, law plays an important role in understanding how societies change. To explore the interplay between law and society, we need to study how both co-evolve over time. This requires a firm quantitative grasp of the changes occurring in both domains. But while quantifying societal change has been the subject of tremendous research efforts in fields such as sociology, economics, or social physics for many years, much less work has been done to quantify legal change. In fact, legal scholars have traditionally regarded the law as hardly quantifiable, and although there is no dearth of empirical legal studies, it is only recently that researchers have begun to apply data science methods to law. To date, there have been relatively few quantitative works that explicitly address legal change, and almost no scholarship exists that analyses the time-evolving outputs of the legislative and executive branches of national governments at scale. Unlocking these data sources for the interdisciplinary scientific community will be crucial for understanding how law and society interact.
            Our work takes a step towards this goal. As a starting point, we hypothesise that an increasingly diverse and interconnected society might create increasingly diverse and interconnected rules. Lawmakers create, modify, and delete legal rules to achieve particular behavioural outcomes, often in an effort to respond to perceived changes in societal needs. While earlier large-scale quantitative work focused on analysing an individual snapshot of laws enacted by national parliaments, collections of snapshots offer a window into the dynamic interaction between law and society. Such collections represent complete, time-evolving populations of statutes at the national level. Hence, no sampling is needed for their analysis, and all changes we observe are direct consequences of legislative activity. This feature makes collections of nation-level statutes particularly suitable for investigating temporal dynamics.
            To preserve the intended multidimensionality of legal document collections and explore how they change over time, legislative corpora should be modelled as dynamic document networks. In particular, since legal documents are carefully organised and interlinked, their structure provides a more direct window into their content and dynamics than their language: Networks honour the deliberate design decisions made by the document authors and circumvent some of the ambiguity problems that natural language-based approaches inherently face. In this paper, we therefore develop an informed data model for legislative corpora, capturing the richness of legislative data for exploration by social physics.


Adapted from Katz, D.M., Coupette, C., Beckedorf, J. et al. Complex societies and the growth of the law. Sci Rep 10, 18737 (2020). Available at https://www.nature.com/articles/s41598-020-73623-x

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:

Alternativas
Q2322838 Inglês
Complex societies and the growth of the law


        Modern societies rely upon law as the primary mechanism to control their development and manage their conflicts. Through carefully designed rights and responsibilities, institutions and procedures, law can enable humans to engage in increasingly complex social and economic activities. Therefore, law plays an important role in understanding how societies change. To explore the interplay between law and society, we need to study how both co-evolve over time. This requires a firm quantitative grasp of the changes occurring in both domains. But while quantifying societal change has been the subject of tremendous research efforts in fields such as sociology, economics, or social physics for many years, much less work has been done to quantify legal change. In fact, legal scholars have traditionally regarded the law as hardly quantifiable, and although there is no dearth of empirical legal studies, it is only recently that researchers have begun to apply data science methods to law. To date, there have been relatively few quantitative works that explicitly address legal change, and almost no scholarship exists that analyses the time-evolving outputs of the legislative and executive branches of national governments at scale. Unlocking these data sources for the interdisciplinary scientific community will be crucial for understanding how law and society interact.
            Our work takes a step towards this goal. As a starting point, we hypothesise that an increasingly diverse and interconnected society might create increasingly diverse and interconnected rules. Lawmakers create, modify, and delete legal rules to achieve particular behavioural outcomes, often in an effort to respond to perceived changes in societal needs. While earlier large-scale quantitative work focused on analysing an individual snapshot of laws enacted by national parliaments, collections of snapshots offer a window into the dynamic interaction between law and society. Such collections represent complete, time-evolving populations of statutes at the national level. Hence, no sampling is needed for their analysis, and all changes we observe are direct consequences of legislative activity. This feature makes collections of nation-level statutes particularly suitable for investigating temporal dynamics.
            To preserve the intended multidimensionality of legal document collections and explore how they change over time, legislative corpora should be modelled as dynamic document networks. In particular, since legal documents are carefully organised and interlinked, their structure provides a more direct window into their content and dynamics than their language: Networks honour the deliberate design decisions made by the document authors and circumvent some of the ambiguity problems that natural language-based approaches inherently face. In this paper, we therefore develop an informed data model for legislative corpora, capturing the richness of legislative data for exploration by social physics.


Adapted from Katz, D.M., Coupette, C., Beckedorf, J. et al. Complex societies and the growth of the law. Sci Rep 10, 18737 (2020). Available at https://www.nature.com/articles/s41598-020-73623-x
Based on the text, mark the statements below as true (T) or false (F).

( ) 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,
Alternativas
Q2322002 Inglês
Is It Live, or Is It Deepfake?


It’s been four decades since society was in awe of the quality of recordings available from a cassette recorder tape. Today we have something new to be in awe of: deepfakes. Deepfakes include hyperrealistic videos that use artificial intelligence (AI) to create fake digital content that looks and sounds real. The word is a portmanteau of “deep learning” and “fake.” Deepfakes are everywhere: from TV news to advertising, from national election campaigns to wars between states, and from cybercriminals’ phishing campaigns to insurance claims that fraudsters file. And deepfakes come in all shapes and sizes — videos, pictures, audio, text, and any other digital material that can be manipulated with AI. One estimate suggests that deepfake content online is growing at the rate of 400% annually.


There appear to be legitimate uses of deepfakes, such as in the medical industry to improve the diagnostic accuracy of AI algorithms in identifying periodontal disease or to help medical professionals create artificial patients (from real patient data) to safely test new diagnoses and treatments or help physicians make medical decisions. Deepfakes are also used to entertain, as seen recently on America’s Got Talent, and there may be future uses where deepfake could help teachers address the personal needs and preferences of specific students.


Unfortunately, there is also the obvious downside, where the most visible examples represent malicious and illegitimate uses. Examples already exist.


Deepfakes also involve voice phishing, also known as vishing, which has been among the most common techniques for cybercriminals. This technique involves using cloned voices over the phone to exploit the victim’s professional or personal relationships by impersonating trusted individuals. In March 2019, cybercriminals were able to use a deepfake to fool the CEO of a U.K.-based energy firm into making a US$234,000 wire transfer. The British CEO who was victimized thought that the person speaking on the phone was the chief executive of the firm’s German parent company. The deepfake caller asked him to transfer the funds to a Hungarian supplier within an hour, emphasizing that the matter was extremely urgent. The fraudsters used AI-based software to successfully imitate the German executive’s voice. […]


What can be done to combat deepfakes? Could we create deepfake detectors? Or create laws or a code of conduct that probably would be ignored?


There are tools that can analyze the blood flow in a subject’s face and then compare it to human blood flow activity to detect a fake. Also, the European Union is working on addressing manipulative behaviors.


There are downsides to both categories of solutions, but clearly something needs to be done to build trust in this emerging and disruptive technology. The problem isn’t going away. It is only increasing.


Authors


Nit Kshetri, Bryan School of Business and Economics, University of North Carolina at Greensboro, Greensboro, NC, USA


Joanna F. DeFranco, Software Engineering, The Pennsylvania State University, Malvern, PA, USA Jeffrey Voas, NIST, USA


Adapted from: https://www.computer.org/csdl/magazine/co/2023/07/10154234/ 1O1wTOn6ynC
The aim of the last paragraph is to:
Alternativas
Q2322001 Inglês
Is It Live, or Is It Deepfake?


It’s been four decades since society was in awe of the quality of recordings available from a cassette recorder tape. Today we have something new to be in awe of: deepfakes. Deepfakes include hyperrealistic videos that use artificial intelligence (AI) to create fake digital content that looks and sounds real. The word is a portmanteau of “deep learning” and “fake.” Deepfakes are everywhere: from TV news to advertising, from national election campaigns to wars between states, and from cybercriminals’ phishing campaigns to insurance claims that fraudsters file. And deepfakes come in all shapes and sizes — videos, pictures, audio, text, and any other digital material that can be manipulated with AI. One estimate suggests that deepfake content online is growing at the rate of 400% annually.


There appear to be legitimate uses of deepfakes, such as in the medical industry to improve the diagnostic accuracy of AI algorithms in identifying periodontal disease or to help medical professionals create artificial patients (from real patient data) to safely test new diagnoses and treatments or help physicians make medical decisions. Deepfakes are also used to entertain, as seen recently on America’s Got Talent, and there may be future uses where deepfake could help teachers address the personal needs and preferences of specific students.


Unfortunately, there is also the obvious downside, where the most visible examples represent malicious and illegitimate uses. Examples already exist.


Deepfakes also involve voice phishing, also known as vishing, which has been among the most common techniques for cybercriminals. This technique involves using cloned voices over the phone to exploit the victim’s professional or personal relationships by impersonating trusted individuals. In March 2019, cybercriminals were able to use a deepfake to fool the CEO of a U.K.-based energy firm into making a US$234,000 wire transfer. The British CEO who was victimized thought that the person speaking on the phone was the chief executive of the firm’s German parent company. The deepfake caller asked him to transfer the funds to a Hungarian supplier within an hour, emphasizing that the matter was extremely urgent. The fraudsters used AI-based software to successfully imitate the German executive’s voice. […]


What can be done to combat deepfakes? Could we create deepfake detectors? Or create laws or a code of conduct that probably would be ignored?


There are tools that can analyze the blood flow in a subject’s face and then compare it to human blood flow activity to detect a fake. Also, the European Union is working on addressing manipulative behaviors.


There are downsides to both categories of solutions, but clearly something needs to be done to build trust in this emerging and disruptive technology. The problem isn’t going away. It is only increasing.


Authors


Nit Kshetri, Bryan School of Business and Economics, University of North Carolina at Greensboro, Greensboro, NC, USA


Joanna F. DeFranco, Software Engineering, The Pennsylvania State University, Malvern, PA, USA Jeffrey Voas, NIST, USA


Adapted from: https://www.computer.org/csdl/magazine/co/2023/07/10154234/ 1O1wTOn6ynC
The word “downsides” in “There are downsides to both categories” (7th paragraph) means: 
Alternativas
Respostas
286: A
287: D
288: B
289: A
290: C