Questão pública

Atualidades · Tecnologia e Sociedade · Rastreamento e coleta de dados de crianças em plataformas educacionais online

Múltipla escolha CESGRANRIO 2024 Média

Texto associado Could AI save the Amazon rainforest? It took just the month of March this year to fell an area of forest in Triunfo do Xingu equivalent to 700 football pitches. At more than 16,000 sq km, this Environmental Protection Area (APA) in the southeastern corner of the Brazilian Amazon, in the state of Pará, is one of the largest conservation areas in the world. And according to a new tool that predicts where deforestation will happen next, it’s also the APA at highest risk of even more destruction. The tool, PrevisIA, is an artificial intelligence platform created by researchers at environmental nonprofit Imazon. Instead of trying to repair damage done by deforestation after the fact, they wanted to find a way to prevent it from happening at all. PrevisIA pinpointed Triunfo do Xingu as the APA at highest risk of deforestation in 2023, with 271.52 sq km of forest in the conservation area expected to be lost by the end of the year. About 5 sq km had already been destroyed in March. Home to the endangered white-cheeked spider monkey and other vulnerable and near-threatened species, such as the hyacinth macaw and the jaguar, the conservation area is rich in biodiversity often found nowhere else in the world. But its land runs through two municipalities, Altamira and São Félix do Xingu, with some of the highest rates of deforestation in the country. And despite Triunfo do Xingu being protected under Brazilian law, illegal activities – mining, logging, land-grabbing – have ravaged the area, stripping it bare in places. Nevertheless, with PrevisIA, there is the potential for change. Imazon is now establishing partnerships with authorities across the region, with the aim of stopping deforestation before it starts. Destruction across the Brazilian Amazon is creeping close to an all-time high. According to SAD, Imazon’s Deforestation Alert System, deforestation this March tripled compared to the same month last year, and the first quarter of 2023 saw 867 sq km of rainforest destroyed – the second largest area felled in the past 16 years. The idea for PrevisIA emerged in 2016, when the team at Imazon analyzed data collected from SAD satellite images. Tired of getting notifications after large swaths of forest had already been cleared, they asked themselves: is it possible to generate short-term deforestation prediction models? “Existing deforestation prediction models were long-term, looking at what would happen in decades,” says Carlos Souza Jr, senior researcher at Imazon and project coordinator of PrevisIA and SAD. “We needed a new tool that could get ahead of the devastation.” Souza and his team began developing a new model capable of generating annual predictions. They published their findings in the journal Spatial Statistics in August 2017. The model takes a twopronged approach. First, it focuses on trends present in the region, looking at geostatistics and historical data from Prodes, the annual government monitoring system for deforestation in the Amazon. Understanding what has happened can help make predictions more precise. When already deforested areas are recent, this indicates gangs are operating in the area, so there’s a higher risk that nearby forest will soon be wiped out. Second, it looks at variables that put the brakes on deforestation – land protected by Indigenous and quilombola (descendent of rebel slaves) communities, and areas with bodies of water, or other terrain that doesn’t lend itself to agricultural expansion, for instance – and variables that make deforestation more likely, including higher population density, the presence of settlements and rural properties, and higher density of road infrastructure, both legal and illegal. “They are the arteries of destruction of the forest,” says Souza, referring to unofficial roads that snake through the Amazon to facilitate illegal industrial activities. “These roads create the conditions for new deforestation.” Monitoring the construction of these roads is crucial to predicting – and eventually preventing – deforestation. According to Imazon, 90% of accumulated deforestation is concentrated within 5.5km of a road. Logging is even closer, with 90% taking place within 3km, and 85% of fires within 5km. Researchers used to comb through thousands of satellite images to see whether they could spot new roads slicing through the biome. With PrevisIA, the work is handed over to an AI algorithm that automates mapping, allowing for quicker analysis and, in turn, more frequent updates. But without a robust computational platform and the ability to update road maps more quickly, PrevisIA couldn’t be put into action. It wasn’t until 2021 that the team at Imazon partnered with Microsoft and Fundo Vale, acquiring the cloud computing power they needed to run the AI algorithm for mapping roads. LANGLOIS, Jill. Could AI save the Amazon rainforest? The Guardian, Apr. 29, 2023. Available at: https://www.theguardian. com/technology/2023/apr/29/could-ai-save-amazon-rainforestartificial- intelligence-conservation-deforestation. Retrieved on: July 13, 2024. Adapted. In the fragment in the second paragraph of the text “they wanted to find a way to prevent it from happening at all”, the word in bold refers to.

way

fact

platform

PrevisIA

deforestation

Resolva com gabarito comentado

Gabarito, explicação e revisão espaçada — tudo para fixar de verdade.

Começar a praticar

Questões relacionadas

CESGRANRIO 2024

Texto associado Brazil: Online Learning Tools Harvest Children’s Data “Educational websites directed at Brazilian students, including two created by state education secretariats, monitored children and collected their personal data”, Human Rights Watch said today. “The national government should revise Brazil’s data protection law by adding new safeguards to protect children online”. Analysis conducted by Human Rights Watch in November 2022 and reviewed again in January 2023 found that seven educational websites extracted and sent children’s data to third-party companies, using tracking technologies designed for advertising. These websites not only watched children inside of their online classrooms, but followed them across the internet, outside school hours, and deep into their private lives. “Children and their families in Brazil are being kept in the dark about the data monitoring conducted on children in online classrooms,” said Hye Jung Han, children’s rights and technology researcher and advocate at Human Rights Watch. “Instead of protecting children, state governments have willfully enabled anyone to monitor them and collect their personal information online.” Human Rights Watch found that five websites deployed particularly intrusive tracking techniques to invisibly spy on children in ways that were impossible to avoid or protect against. One of these websites uses session recording, a technique that allows a third party to watch and record a user’s behavior on a webpage. That includes mouse clicks and movements around a webpage; the digital equivalent of logging video monitoring each time a child scratches their nose or grasps their pencil in class. Typically, the third party would then scrutinize the data on behalf of the website to guess a user’s personality, their preferences, and what they are likely to do next, or how they might be influenced. Advertisers might use these insights to target the child with personalized content and ads that follow them across the internet. Profiling, targeting, and advertising to children in this way infringes on their privacy, as it is neither proportionate nor necessary for these websites to function or deliver educational content. It also risks violating children’s other rights if this information is used to guide them toward outcomes that are harmful or not in their best interest. Such practices also play an enormous role in shaping children’s online experiences and determining the information they see, at a time in their lives when their opinions and beliefs are at high risk of manipulative interference. Brazil’s data protection authority should stop these assaults on children’s privacy. It should require these companies and state governments to delete children’s data collected, and prevent them from further using children’s data for any purpose unrelated to providing education. Brazil’s constitution protects the right to privacy. The country has also ratified the UN Convention on the Rights of the Child, which entitles children to special protections that guard their privacy. Brazil’s data protection law, however, – the Lei Geral de Proteção de Dados Pessoais, or the General Personal Data Protection Law – does not provide sufficient protections for children. It does not explicitly prohibit actors from exploiting children’s information or require them to provide high levels of safety and security for children. Lawmakers should amend the law to establish comprehensive child data protection rules, including bans on behavioral advertising and the use of intrusive tracking techniques on children. These rules should also require all actors offering online services to children – including online learning – to provide the highest levels of protection for children’s data and their privacy. Available at: https://www.hrw.org/news/2023/04/03/brazil- -online-learning-tools-harvest-childrens-data. Retrieved on: Feb 15, 2024. Adapted. In the section of paragraph 4 “the third party would then scrutinize the data on behalf of the website to guess a user’s personality, their preferences, and what they are likely to do next”, the expression what they are likely to do next refers to the children’s

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Fácil

CESGRANRIO 2024

Texto associado Brazil: Online Learning Tools Harvest Children’s Data “Educational websites directed at Brazilian students, including two created by state education secretariats, monitored children and collected their personal data”, Human Rights Watch said today. “The national government should revise Brazil’s data protection law by adding new safeguards to protect children online”. Analysis conducted by Human Rights Watch in November 2022 and reviewed again in January 2023 found that seven educational websites extracted and sent children’s data to third-party companies, using tracking technologies designed for advertising. These websites not only watched children inside of their online classrooms, but followed them across the internet, outside school hours, and deep into their private lives. “Children and their families in Brazil are being kept in the dark about the data monitoring conducted on children in online classrooms,” said Hye Jung Han, children’s rights and technology researcher and advocate at Human Rights Watch. “Instead of protecting children, state governments have willfully enabled anyone to monitor them and collect their personal information online.” Human Rights Watch found that five websites deployed particularly intrusive tracking techniques to invisibly spy on children in ways that were impossible to avoid or protect against. One of these websites uses session recording, a technique that allows a third party to watch and record a user’s behavior on a webpage. That includes mouse clicks and movements around a webpage; the digital equivalent of logging video monitoring each time a child scratches their nose or grasps their pencil in class. Typically, the third party would then scrutinize the data on behalf of the website to guess a user’s personality, their preferences, and what they are likely to do next, or how they might be influenced. Advertisers might use these insights to target the child with personalized content and ads that follow them across the internet. Profiling, targeting, and advertising to children in this way infringes on their privacy, as it is neither proportionate nor necessary for these websites to function or deliver educational content. It also risks violating children’s other rights if this information is used to guide them toward outcomes that are harmful or not in their best interest. Such practices also play an enormous role in shaping children’s online experiences and determining the information they see, at a time in their lives when their opinions and beliefs are at high risk of manipulative interference. Brazil’s data protection authority should stop these assaults on children’s privacy. It should require these companies and state governments to delete children’s data collected, and prevent them from further using children’s data for any purpose unrelated to providing education. Brazil’s constitution protects the right to privacy. The country has also ratified the UN Convention on the Rights of the Child, which entitles children to special protections that guard their privacy. Brazil’s data protection law, however, – the Lei Geral de Proteção de Dados Pessoais, or the General Personal Data Protection Law – does not provide sufficient protections for children. It does not explicitly prohibit actors from exploiting children’s information or require them to provide high levels of safety and security for children. Lawmakers should amend the law to establish comprehensive child data protection rules, including bans on behavioral advertising and the use of intrusive tracking techniques on children. These rules should also require all actors offering online services to children – including online learning – to provide the highest levels of protection for children’s data and their privacy. Available at: https://www.hrw.org/news/2023/04/03/brazil- -online-learning-tools-harvest-childrens-data. Retrieved on: Feb 15, 2024. Adapted. In the segment of paragraph 2 “These websites not only watched children inside of their online classrooms, but followed them across the internet”, the term them refers to

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Difícil

CESGRANRIO 2025

Read text to answer the question below Texto associado Innovative Rural Hospitals Think Beyond Tradition to Improve Access to Care Artificial intelligence can be a vital force multiplier for rural hospitals. AI helps to improve diagnostic speed, enhance care team coordination and ensures that patients with high-acuity conditions receive timely attention. Last year, Mercy — a large health system serving many rural communities across Missouri and surrounding states — expanded its use of artificial intelligence (AI) to improve patient access and outcomes in radiology. By integrating Aidoc, an AI-powered clinical decision-support platform, into its imaging workflow, Mercy now can provide faster diagnosis of life-threatening conditions such as pulmonary embolisms and brain bleeds across its network of more than 50 hospitals, many of them in rural or underserved areas. The AI platform reviews scans in real time and automatically flags critical findings for radiologists and emergency teams. This reduces turnaround times for high-risk cases and helps to ensure that patients in rural facilities receive the same rapid care available in larger urban centers. According to Mercy leaders, the AI implementation has enhanced clinical efficiency and supported more timely interventions — particularly in emergency departments (EDs) where staffing can be stretched thinly. In partnership with Zipline, a logistics drone company, Wise County, Virginia, launched a pilot program with Cardinal News: Remote Area Medical to deliver essential medications to remote communities. Using autonomous drones, the health department now can transport insulin, antibiotics and other critical supplies across rugged terrain in less than 30 minutes — a journey that otherwise might take hours by car. The program, which began during the COVID-19 pandemic, has grown into a model for how unmanned aerial vehicles can support rural health equity. Because the drones are not hindered by poor roads, weather or distance, they help to ensure continuity of care for patients who manage chronic conditions or need urgent medications. Trinity Health in Minot, North Dakota, operates mobile nurse-run telehealth hubs in converted vans that travel to underserved towns across the state. Equipped with diagnostic tools, mobile internet and tablets connecting to remote physicians, these vans serve as a lifeline for patients in areas that lack nearby clinics. Staffed by advanced practice nurses, the vans provide on-site assessments, collect vitals, administer vaccines and facilitate virtual consults with physicians at Trinity’s main facilities. This hybrid care model bridges the gap between virtual and hands-on services. The program has improved appointment adherence and helped to identify serious conditions sooner, reducing ED usage and supporting chronic disease management. Memorial Health System in Marietta, Ohio, accelerated its digital transformation during the COVID-19 pandemic by implementing a comprehensive patient intake platform. This initiative enabled patients to complete appointment scheduling, registration and billing processes remotely, enhancing convenience and safety. The digital system streamlined front-end operations, reducing the need for manual data entry and minimizing lobby congestion. Patients now can check in and complete necessary forms from their homes, decreasing errors and enhancing privacy. This transformation not only improved operational efficiency, but also strengthened infection control measures by reducing in-person interactions. Memorial Health System's experience underscores the importance of digital solutions in enhancing patient engagement and streamlining health care delivery, particularly in rural settings where access to care can be challenging. Whether it’s drones delivering medications or nurses driving virtual care on wheels, rural hospitals are innovating to close the gap between providers and patients. These creative solutions are designed to keep patient needs, geographic barriers and economic realities top of mind. As workforce shortages, financial constraints and care disparities persist in rural America, hospital leaders must think beyond traditional infrastructure. Strategic investment in technology — paired with thoughtful implementation — can transform how care is delivered and experienced, regardless of ZIP code. Available at: https://www.aha.org/aha-center-health-innovation- -market-scan/2025-04-01-innovative-rural-hospitals-think- -beyond-tradition-improve-access-care. Retrieved on: May 31, 2025. Adapted. In text, the excerpt “particularly in rural settings where access to care can be challenging”, the pronoun where refers to

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Difícil

CESGRANRIO 2026

Texto associado How grocery shopping data is unlocking financial inclusion Access to affordable credit is fundamental to personal resilience and economic advancement. It helps fund housing, education, small businesses, and insurance to protect against financial shocks. Globally, 1.4 billion adults have no access to formal financial services because they lack a credit history, which is only acquired once someone has been granted credit. This paradox means millions of people are financially excluded. This is not only a problem in emerging and developing markets, but also in developed markets like the US and the UK where millions remain underserved: approximately 45 million Americans are either credit invisible or have unscorable credit files, and around 5 million UK residents lack a mainstream credit history. For financial institutions, this represents not just a moral imperative, but also a major opportunity to unlock a new and largely untapped market through innovative and ethical data use. Grocery shopping data is emerging as one of the most powerful alternative data sources for understanding the financial behavior of “credit invisibles”. These four key characteristics highlight why grocery data is so insightful for credit scoring people with no credit history: universality, recency, granularity and frequency. Everyone buys groceries. Grocery shopping is a universal necessity that cuts across socioeconomic, geographic, and demographic boundaries. This makes grocery data uniquely representative of the broader population, which is a rare attribute among alternative data sources. Unlike many traditional data sources, grocery data is continually refreshed. Most consumers shop for groceries weekly, if not more often. This regularity offers a real-time view into consumer behavior, enabling financial institutions to assess an individual’s current financial situation with striking accuracy. Grocery shopping data captures detailed behavioral signals. For example, consistent purchasing of staple goods at the same time each month can indicate budgeting discipline. Price sensitivity and use of discounts may suggest cautious financial management. A high-percentage of healthy food items and lack of junk food can be an indicator of financial responsibility. The high frequency of grocery shopping offers a dense timeline of behavioral data, allowing models to detect consistent financial habits, patterns, and anomalies. Unlike once-off data points like loan applications, grocery data builds a behavioral track record over time. Research by scholars at Rice University, the University of Notre Dame, and Northwestern University found that variables such as shopping frequency, consistency in spending, choice of products, and use of discount programs correlate strongly with credit risk profiles. Importantly, it demonstrated that these behavioral patterns could significantly improve the predictive power of credit models, particularly for consumers without formal credit histories. Grocery shopping data is recent, frequent, universal, and rich in behavioral insights. Coupled with banking data within a privacy-preserving data collaboration environment, it’s opening the path to financial inclusion and protection for millions. Financial inclusion has remained out of reach for far too many, for far too long. Grocery data, used responsibly and collaboratively, may be the innovation that changes that at scale. Available at: . Retrieved on: October 26, 2025. Adapted. In the excerpt of paragraph 1, “Globally, 1.4 billion adults have no access to formal financial services because they lack a credit history”, the pronoun they refers to

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Fácil

CESGRANRIO 2024

Texto associado Regeneration: Why businesses are moving beyond sustainability and thinking about regrowth Sustainability is out, regeneration is in. According to a 2019 survey by ReGenFriends, nearly 80% of US consumers prefer “regenerative” brands to “sustainable” brands. Gen Y and Z consumers find the notion of “sustainability” too passive. They want to buy from regenerative businesses that embody and practice the three noble qualities found in all living systems: renewal, restoration and growth. Regeneration goes beyond sustainability by creating a deeper and wider socioeconomic impact. Sustainable brands strive to just do less harm to the planet. Regenerative businesses go beyond sustainability and fight to do more good to society and the planet. Specifically, regenerative firms seek to boost the health and vitality of people, places and the planet simultaneously in a synergistic manner. In doing so, there is a growing body of evidence to suggest that regenerative businesses can achieve far better financial performance and impact than their sustainability-focused peers. In the Amazon, we find an example of how regeneration works in practice. The murumuru is a palm tree that grows in the Amazon forest. The Amazon’s indigenous peoples chop this palm tree down and use its wood to produce and sell items such as brooms. As it happens, we can obtain a highly moisturizing butter from the seeds of this palm tree, which is very efficient at repairing and renewing damaged hair. The value of these seeds is seven times greater than that of this palm tree’s wood. As such, people in the Amazon can generate seven times more economic value by preserving the murumuru tree than cutting it. Businesses are taking notice. Natura, a Brazilian cosmetics firm, is collaborating with Amazonian Indigenous people to ethically source murumuru butter for a variety of hair care products, using their traditional farming techniques. This mutually beneficial collaboration means indigenous communities are regenerating themselves and the planet along three complementary dimensions: economic, socio-cultural and environmental. But it’s not just natural ecosystems that can benefit from prioritizing regeneration. Human ecosystems, too, stand to benefit. Regenerative businesses also strive to boost the health and vitality of individuals and communities, especially in aging societies. Take Japan, a country that is aging rapidly. 30% of its population is already over 65. The average life expectancy of its citizens is 84 years. Sadly, longevity doesn’t promise vitality. Meiji Yasuda is Japan’s oldest largest life insurance firm. During Covid-19, the firm realized that its true mission should be to boost people’s vitality rather than protect them from death. In April 2020, the firm launched a 10-year plan to evolve the life insurance firm into a life regeneration company. This strategy calls for prolonging the healthy life expectancy of its clients and vitalizing local communities across Japan where the firm operates. Meiji Yasuda is investing in new partnerships and technologies to promote preventive healthcare in Japan. For instance, it teamed up with the National Cerebral and Cardiovascular Center in Japan to develop new digital tools that can help its clients anticipate and prevent cardiovascular problems. To get buy-in from internal and external stakeholders, businesses should explain how their triple regeneration strategy – the synergistic revitalization of people, places and the planet – could yield great economic and social value for all stakeholders. Visionary food companies and apparel makers like Danone, General Mills, Eileen Fisher, Illycaffè and Patagonia are investing in regenerative agriculture. They are doing it not only because it drastically reduces water use and emissions, boosts soil fertility and improves animal welfare, but also because it enhances the livelihoods of financiallychallenged farmers. Promising place-based economic development initiatives exist in disadvantaged communities across the US that use a holistic approach to regenerate people, places and the biodiversity altogether. By joining these initiatives, businesses can accelerate their own transition to a regenerative model. For instance, Reimagine Appalachia (RI) is a multi-stakeholder coalition that aims to revitalize abandoned coal mines and restore the natural ecosystems in Appalachia. RI is supporting the Appalachian Regional Reforestation Initiative, while also creating jobs and economic opportunities in the region. Given the climate urgency, it is time that businesses think and act beyond sustainability. They must evolve into regenerative businesses that renew, restore and grow people, places and the planet synergistically. Available at: https://www.weforum.org/agenda/2024/06 /businesses -are-moving-beyond-sustainability-welcome-to-the-age-ofregeneration/. Retrieved on: Jun 14, 2024. Adapted. In the section of paragraph 3 “The Amazon’s indigenous peoples chop this palm tree down and use its wood to produce and sell items such as brooms.”, the pronoun “its” refers to

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Difícil

CESGRANRIO 2025

Texto associado A psicologia da inteligência artificial no mercado financeiro A utilização da IA no mercado financeiro é, sem dúvida, uma inovação poderosa, trazendo consigo a promessa de transformar radicalmente a maneira como os mercados operam. Uma das principais vantagens da IA é sua capacidade de analisar grandes quantidades de dados em tempo real. Segundo Agrawal, Gans e Goldfarb (2019) em The Economics of Artificial Intelligence: An Agenda, a IA oferece uma eficiência inigualável na execução de transações e na gestão de portfólios, o que pode resultar em maior precisão e redução de custos operacionais para as instituições financeiras. Além disso, a capacidade da IA de operar sem a influência de emoções é uma das suas vantagens mais notáveis. Em um mercado em que decisões rápidas e racionais são essenciais, a IA se destaca por sua capacidade de tomar decisões baseadas exclusivamente em algoritmos e dados objetivos, eliminando o impacto de vieses cognitivos que frequentemente prejudicam a tomada de decisões humanas. Investidores e gestores de fundos, por exemplo, muitas vezes caem em armadilhas psicológicas, como o excesso de confiança ou o efeito de ancoragem, que podem levar a decisões que não apresentam a melhor qualidade possível além de perdas financeiras. A IA, por outro lado, é projetada para minimizar esses riscos, oferecendo uma abordagem mais racional e consistente para a tomada de decisões. No entanto, a introdução da IA no mercado financeiro também apresenta desafios significativos. Um dos problemas mais críticos é a chamada “caixa preta” dos algoritmos de IA, na qual as decisões são tomadas com base em processos complexos que são frequentemente opacos para os humanos. Isso levanta questões éticas e de responsabilidade, especialmente quando as decisões automatizadas levam a resultados adversos. A falta de transparência nos modelos de IA pode criar uma situação a partir da qual não se consegue entender completamente como e por que certas decisões foram tomadas, o que é particularmente preocupante em um contexto em que erros ou vieses podem ter consequências significativas. Os algoritmos de IA podem perpetuar e até amplificar desigualdades sistêmicas, e certos grupos podem ser penalizados, ou favorecidos, exacerbando as disparidades econômicas e criando um ambiente de incerteza e desconfiança. Além disso, há um risco real de que a “desumanização” das finanças possa resultar em uma falta de discernimento contextual. As condições de mercado podem mudar rapidamente e exigir uma resposta adaptativa que vai além do que os algoritmos de IA foram programados para considerar. Outro aspecto crucial é o impacto da IA na percepção de controle e confiança dos investidores. Quando as decisões de investimento são automatizadas, eles podem sentir que perderam o controle sobre suas próprias finanças. Essa sensação de alienação pode levar a uma diminuição da confiança nas decisões tomadas em seu nome, mesmo que essas decisões sejam baseadas em análises robustas e imparciais. A falta de confiança pode levá-los a evitar oportunidades de mercado promissoras, subutilizando o potencial de suas carteiras e impactando negativamente o desempenho financeiro a longo prazo. Além disso, a ascensão da IA no mercado financeiro levanta questões sobre a substituição do trabalho humano por máquinas, um tópico de grande relevância psicológica e social. A IA, com sua capacidade de executar tarefas com eficiência e precisão, pode tornar redundantes muitas das funções que antes exigiam habilidades humanas especializadas. À medida que o mercado financeiro continua a evoluir com a integração da IA, é importante que esses fatores sejam considerados para garantir que a tecnologia seja utilizada de maneira ética e eficaz, sem comprometer a integridade do processo decisório e o bem-estar psicológico dos indivíduos envolvidos. SOUZA, Ronaldo. A psicologia da inteligência artificial no mercado financeiro. Disponível em: https://www.gov.br/ investidor/pt Em “as decisões são tomadas com base em processos complexos que são frequentemente opacos para os humanos” (parágrafo 3), a palavra que pode substituir opacos, sem alterar o sentido do trecho, é

Rastreamento e coleta de dados de crianças em plataformas educacionais online ·Atualidades Fácil

Começar a praticar

Notas, exercícios e revisão — em um só fluxo.

Pare de pular entre cinco apps. Envie seu material uma vez e tenha, em um só lugar, tudo pra entender, praticar, memorizar e acompanhar seu progresso.

Começar a estudar