Questões do FUVEST

Assigning female genders to digital assistants such as Apple's Siri and Amazon's Alexa is helping entrench harmful gender biases, according to a UN agency. Research released by Unesco claims that the often submissive and flirty responses offered by the systems to many queries – including outright abusive ones – reinforce ideas of women as subservient. "Because the speech of most voice assistants is female, it sends a signal that women are obliging, docile and eager‐to‐ please helpers, available at the touch of a button or with a blunt voice command like 'hey' or 'OK'", the report said. "The assistant holds no power of agency beyond what the commander asks of it. It honours commands and responds to queries regardless of their tone or hostility. In many communities, this reinforces commonly held gender biases that women are subservient and tolerant of poor treatment." The Unesco publication was entitled "I'd Blush if I Could"; a reference to the response Apple's Siri assistant offers to the phrase: "You're a slut." Amazon's Alexa will respond: "Well, thanks for the feedback." The paper said such firms were "staffed by overwhelmingly male engineering teams" and have built AI (Artificial Intelligence) systems that "cause their feminised digital assistants to greet verbal abuse with catch‐me‐if‐you‐can flirtation". Saniye Gülser Corat, Unesco's director for gender equality, said: "The world needs to pay much closer attention to how, when and whether AI technologies are gendered and, crucially, who is gendering them." The Guardian, May, 2019. Adaptado. De acordo com o texto, na opinião de Saniye Gülser Corat, tecnologias que envolvem Inteligência Artificial, entre outros aspectos,

Scientists have long touted DNA's potential as an ideal storage medium; it's dense, easy to replicate, and stable over millennia. But in order to replace existing silicon‐chip or magnetic‐tape storage technologies, DNA will have to get a lot cheaper to predictably read, write, and package. That's where scientists like Hyunjun Park come in. He and the other cofounders of Catalog, an MIT DNA‐storage spinoff emerging out of stealth on Tuesday, are building a machine that will write a terabyte of data a day, using 500 trillion molecules of DNA. If successful, DNA storage could be the answer to a uniquely 21st‐century problem: information overload. Five years ago humans had produced 4.4 zettabytes of data; that's set to explode to 160 zettabytes (each year!) by 2025. Current infrastructure can handle only a fraction of the coming data deluge, which is expected to consume all the world's microchip‐grade silicon by 2040. "Today's technology is already close to the physical limits of scaling," says Victor Zhirnov, chief scientist of the Semiconductor Research Corporation. "DNA has an information‐storage density several orders of magnitude higher than any other known storage technology." How dense exactly? Imagine formatting every movie ever made into DNA; it would be smaller than the size of a sugar cube. And it would last for 10,000 years. Wired, June, 2018. Disponível em https://www.wired.com/. Adaptado. Afirma‐se no texto que, no futuro, a tecnologia de gravação em moléculas de DNA

Scientists have long touted DNA's potential as an ideal storage medium; it's dense, easy to replicate, and stable over millennia. But in order to replace existing silicon‐chip or magnetic‐tape storage technologies, DNA will have to get a lot cheaper to predictably read, write, and package. That's where scientists like Hyunjun Park come in. He and the other cofounders of Catalog, an MIT DNA‐storage spinoff emerging out of stealth on Tuesday, are building a machine that will write a terabyte of data a day, using 500 trillion molecules of DNA. If successful, DNA storage could be the answer to a uniquely 21st‐century problem: information overload. Five years ago humans had produced 4.4 zettabytes of data; that's set to explode to 160 zettabytes (each year!) by 2025. Current infrastructure can handle only a fraction of the coming data deluge, which is expected to consume all the world's microchip‐grade silicon by 2040. "Today's technology is already close to the physical limits of scaling," says Victor Zhirnov, chief scientist of the Semiconductor Research Corporation. "DNA has an information‐storage density several orders of magnitude higher than any other known storage technology." How dense exactly? Imagine formatting every movie ever made into DNA; it would be smaller than the size of a sugar cube. And it would last for 10,000 years. Wired, June, 2018. Disponível em https://www.wired.com/. Adaptado. Conforme o texto, cientistas preveem que, em pouco mais de 20 anos,

Harlem What happens to a dream deferred? Does it dry up like a raisin in the sun? Or fester like a sore— And then run? Does it stink like rotten meat? Or crust and sugar over— like a syrupy sweet? Maybe it just sags like a heavy load. Or does it explode? Langston Hughes, Selected Poems of Langston Hughes (1990). Disponível em http://www.poetryfoundation.org/. As tentativas de resposta do poeta à pergunta "What happens to a dream deferred?" evocam imagens de

TEXTO PARA AS QUESTÕES 89 E 90 Algorithms are everywhere. They play the stockmarket, decide whether you can have a mortgage and may one day drive your car for you. They search the internet when commanded, stick carefully chosen advertisements into the sites you visit and decide what prices to show you in online shops. (…) But what exactly are algorithms, and what makes them so powerful? An algorithm is, essentially, a brainless way of doing clever things. It is a set of precise steps that need no great mental effort to follow but which, if obeyed exactly and mechanically, will lead to some desirable outcome. Long division and column addition are examples that everyone is familiar with — if you follow the procedure, you are guaranteed to get the right answer. So is the strategy, rediscovered thousands of times every year by schoolchildren bored with learning mathematical algorithms, for playing a perfect game of noughts and crosses. The brainlessness is key: each step should be as simple and as free from ambiguity as possible. Cooking recipes and driving directions are algorithms of a sort. But instructions like "stew the meat until tender" or "it's a few miles down the road" are too vague to follow without at least some interpretation. (…) The Economist, August 30, 2017 No texto, um exemplo associado ao fato de algoritmos estarem por toda parte é

TEXTO PARA AS QUESTÕES 89 E 90 Algorithms are everywhere. They play the stockmarket, decide whether you can have a mortgage and may one day drive your car for you. They search the internet when commanded, stick carefully chosen advertisements into the sites you visit and decide what prices to show you in online shops. (…) But what exactly are algorithms, and what makes them so powerful? An algorithm is, essentially, a brainless way of doing clever things. It is a set of precise steps that need no great mental effort to follow but which, if obeyed exactly and mechanically, will lead to some desirable outcome. Long division and column addition are examples that everyone is familiar with — if you follow the procedure, you are guaranteed to get the right answer. So is the strategy, rediscovered thousands of times every year by schoolchildren bored with learning mathematical algorithms, for playing a perfect game of noughts and crosses. The brainlessness is key: each step should be as simple and as free from ambiguity as possible. Cooking recipes and driving directions are algorithms of a sort. But instructions like "stew the meat until tender" or "it's a few miles down the road" are too vague to follow without at least some interpretation. (…) The Economist, August 30, 2017 Segundo o texto, a execução de um algoritmo consiste em um processo que