LIC AAO/SBI PO Pre Mini Mock-11

Direction: Read the given passage carefully and answer the questions that follow.

A recent article in The Guardian estimated that the sex tech industry, which is less than a decade old, is already worth $30 billion. This estimate is expected to grow exponentially as the industry gears up to unveil hyper-realistic female sex robots customised for men. This has two main implications: first, considerable money, time and effort are dedicated to modelling machine behaviour to cater to male preferences by objectifying the female form. Second, the technology needed to drive these innovations is designed in most cases by male coders.
The gender equation is reinforced in another manner. While lines of code are written by men, artificial intelligence (AI) is often female. The fact that Siri, Alexa, Amelia, Amy and Cortana are all designed as hyper-intelligent yet servile female chatbots is not coincidental. On the other hand, women’s participation in certain media fora is highly under-represented. As coders and consumers of technology are largely male, they are crafting algorithms that absorb existing gender and racial prejudices. AI is replicating the same conceptions of gender roles that are being removed in the real world. For instance, Apple’s Siri, Microsoft’s Cortana and Amazon’s Alexa are essentially modelled after efficient and subservient secretaries. This seemingly innocuous assignment of female characteristics to AI personalities has dangerous implications. These chatbots reportedly receive sexually-charged messages on a regular basis. More damaging still is the fact that they are programmed to respond deferentially or even play along with such suggestions.
Voices of disembodied, supportive AI tend to be female as both men and women find them less threatening. This comfort in issuing orders to a female voice is inherently problematic that tech companies have now acknowledged. Not only are companies investing in developing male bots and genderless bots, reportedly when someone asks Cortana, “Are you a girl?” she replies, “No. But I’m awesome like a girl.” Similarly, Alexa has been described as a ‘self-identified feminist’. While feminist female chatbots are encouraging, they can hardly solve the inbuilt sexism by design of AI. As AI grows in influence and gender biases continue seeping through algorithms, existing inequalities will be exacerbated. In India, for instance, the legal sector is gradually embracing AI, which is expected to improve speed and efficiency by automating tasks such as document drafting, undertaking legal research and due diligence. Similarly, news-writing bots are now functioning in the world of journalism. In both cases, AI will autonomously generate output by identifying story angles based on algorithms with ‘built-in’ criteria. When cases involving sexual violence and their portrayal in traditional news media are already under scrutiny, it’s important to question how male-hegemonic data sets will impact future news stories and court coverage of sexual assault and other topics requiring greater gender sensitivity. Since only 29% of internet users and 28% of mobile phone owners in India are women, improving access to basic information and communication technology services and infrastructure remains critical. There is nothing inherently empowering or sexist about technology. It just reflects the values of its creators.

Source: https://blogs.economictimes.indiatimes.com

Direction: Read the given passage carefully and answer the questions that follow.

A recent article in The Guardian estimated that the sex tech industry, which is less than a decade old, is already worth $30 billion. This estimate is expected to grow exponentially as the industry gears up to unveil hyper-realistic female sex robots customised for men. This has two main implications: first, considerable money, time and effort are dedicated to modelling machine behaviour to cater to male preferences by objectifying the female form. Second, the technology needed to drive these innovations is designed in most cases by male coders.
The gender equation is reinforced in another manner. While lines of code are written by men, artificial intelligence (AI) is often female. The fact that Siri, Alexa, Amelia, Amy and Cortana are all designed as hyper-intelligent yet servile female chatbots is not coincidental. On the other hand, women’s participation in certain media fora is highly under-represented. As coders and consumers of technology are largely male, they are crafting algorithms that absorb existing gender and racial prejudices. AI is replicating the same conceptions of gender roles that are being removed in the real world. For instance, Apple’s Siri, Microsoft’s Cortana and Amazon’s Alexa are essentially modelled after efficient and subservient secretaries. This seemingly innocuous assignment of female characteristics to AI personalities has dangerous implications. These chatbots reportedly receive sexually-charged messages on a regular basis. More damaging still is the fact that they are programmed to respond deferentially or even play along with such suggestions.
Voices of disembodied, supportive AI tend to be female as both men and women find them less threatening. This comfort in issuing orders to a female voice is inherently problematic that tech companies have now acknowledged. Not only are companies investing in developing male bots and genderless bots, reportedly when someone asks Cortana, “Are you a girl?” she replies, “No. But I’m awesome like a girl.” Similarly, Alexa has been described as a ‘self-identified feminist’. While feminist female chatbots are encouraging, they can hardly solve the inbuilt sexism by design of AI. As AI grows in influence and gender biases continue seeping through algorithms, existing inequalities will be exacerbated. In India, for instance, the legal sector is gradually embracing AI, which is expected to improve speed and efficiency by automating tasks such as document drafting, undertaking legal research and due diligence. Similarly, news-writing bots are now functioning in the world of journalism. In both cases, AI will autonomously generate output by identifying story angles based on algorithms with ‘built-in’ criteria. When cases involving sexual violence and their portrayal in traditional news media are already under scrutiny, it’s important to question how male-hegemonic data sets will impact future news stories and court coverage of sexual assault and other topics requiring greater gender sensitivity. Since only 29% of internet users and 28% of mobile phone owners in India are women, improving access to basic information and communication technology services and infrastructure remains critical. There is nothing inherently empowering or sexist about technology. It just reflects the values of its creators.

Source: https://blogs.economictimes.indiatimes.com

Direction: Read the given passage carefully and answer the questions that follow.

A recent article in The Guardian estimated that the sex tech industry, which is less than a decade old, is already worth $30 billion. This estimate is expected to grow exponentially as the industry gears up to unveil hyper-realistic female sex robots customised for men. This has two main implications: first, considerable money, time and effort are dedicated to modelling machine behaviour to cater to male preferences by objectifying the female form. Second, the technology needed to drive these innovations is designed in most cases by male coders.
The gender equation is reinforced in another manner. While lines of code are written by men, artificial intelligence (AI) is often female. The fact that Siri, Alexa, Amelia, Amy and Cortana are all designed as hyper-intelligent yet servile female chatbots is not coincidental. On the other hand, women’s participation in certain media fora is highly under-represented. As coders and consumers of technology are largely male, they are crafting algorithms that absorb existing gender and racial prejudices. AI is replicating the same conceptions of gender roles that are being removed in the real world. For instance, Apple’s Siri, Microsoft’s Cortana and Amazon’s Alexa are essentially modelled after efficient and subservient secretaries. This seemingly innocuous assignment of female characteristics to AI personalities has dangerous implications. These chatbots reportedly receive sexually-charged messages on a regular basis. More damaging still is the fact that they are programmed to respond deferentially or even play along with such suggestions.
Voices of disembodied, supportive AI tend to be female as both men and women find them less threatening. This comfort in issuing orders to a female voice is inherently problematic that tech companies have now acknowledged. Not only are companies investing in developing male bots and genderless bots, reportedly when someone asks Cortana, “Are you a girl?” she replies, “No. But I’m awesome like a girl.” Similarly, Alexa has been described as a ‘self-identified feminist’. While feminist female chatbots are encouraging, they can hardly solve the inbuilt sexism by design of AI. As AI grows in influence and gender biases continue seeping through algorithms, existing inequalities will be exacerbated. In India, for instance, the legal sector is gradually embracing AI, which is expected to improve speed and efficiency by automating tasks such as document drafting, undertaking legal research and due diligence. Similarly, news-writing bots are now functioning in the world of journalism. In both cases, AI will autonomously generate output by identifying story angles based on algorithms with ‘built-in’ criteria. When cases involving sexual violence and their portrayal in traditional news media are already under scrutiny, it’s important to question how male-hegemonic data sets will impact future news stories and court coverage of sexual assault and other topics requiring greater gender sensitivity. Since only 29% of internet users and 28% of mobile phone owners in India are women, improving access to basic information and communication technology services and infrastructure remains critical. There is nothing inherently empowering or sexist about technology. It just reflects the values of its creators.

Source: https://blogs.economictimes.indiatimes.com

Direction: Read the given passage carefully and answer the questions that follow.

A recent article in The Guardian estimated that the sex tech industry, which is less than a decade old, is already worth $30 billion. This estimate is expected to grow exponentially as the industry gears up to unveil hyper-realistic female sex robots customised for men. This has two main implications: first, considerable money, time and effort are dedicated to modelling machine behaviour to cater to male preferences by objectifying the female form. Second, the technology needed to drive these innovations is designed in most cases by male coders.
The gender equation is reinforced in another manner. While lines of code are written by men, artificial intelligence (AI) is often female. The fact that Siri, Alexa, Amelia, Amy and Cortana are all designed as hyper-intelligent yet servile female chatbots is not coincidental. On the other hand, women’s participation in certain media fora is highly under-represented. As coders and consumers of technology are largely male, they are crafting algorithms that absorb existing gender and racial prejudices. AI is replicating the same conceptions of gender roles that are being removed in the real world. For instance, Apple’s Siri, Microsoft’s Cortana and Amazon’s Alexa are essentially modelled after efficient and subservient secretaries. This seemingly innocuous assignment of female characteristics to AI personalities has dangerous implications. These chatbots reportedly receive sexually-charged messages on a regular basis. More damaging still is the fact that they are programmed to respond deferentially or even play along with such suggestions.
Voices of disembodied, supportive AI tend to be female as both men and women find them less threatening. This comfort in issuing orders to a female voice is inherently problematic that tech companies have now acknowledged. Not only are companies investing in developing male bots and genderless bots, reportedly when someone asks Cortana, “Are you a girl?” she replies, “No. But I’m awesome like a girl.” Similarly, Alexa has been described as a ‘self-identified feminist’. While feminist female chatbots are encouraging, they can hardly solve the inbuilt sexism by design of AI. As AI grows in influence and gender biases continue seeping through algorithms, existing inequalities will be exacerbated. In India, for instance, the legal sector is gradually embracing AI, which is expected to improve speed and efficiency by automating tasks such as document drafting, undertaking legal research and due diligence. Similarly, news-writing bots are now functioning in the world of journalism. In both cases, AI will autonomously generate output by identifying story angles based on algorithms with ‘built-in’ criteria. When cases involving sexual violence and their portrayal in traditional news media are already under scrutiny, it’s important to question how male-hegemonic data sets will impact future news stories and court coverage of sexual assault and other topics requiring greater gender sensitivity. Since only 29% of internet users and 28% of mobile phone owners in India are women, improving access to basic information and communication technology services and infrastructure remains critical. There is nothing inherently empowering or sexist about technology. It just reflects the values of its creators.

Source: https://blogs.economictimes.indiatimes.com

Direction: Read the given passage carefully and answer the questions that follow.
A recent article in The Guardian estimated that the sex tech industry, which is less than a decade old, is already worth $30 billion. This estimate is expected to grow exponentially as the industry gears up to unveil hyper-realistic female sex robots customised for men. This has two main implications: first, considerable money, time and effort are dedicated to modelling machine behaviour to cater to male preferences by objectifying the female form. Second, the technology needed to drive these innovations is designed in most cases by male coders.
The gender equation is reinforced in another manner. While lines of code are written by men, artificial intelligence (AI) is often female. The fact that Siri, Alexa, Amelia, Amy and Cortana are all designed as hyper-intelligent yet servile female chatbots is not coincidental. On the other hand, women’s participation in certain media fora is highly under-represented. As coders and consumers of technology are largely male, they are crafting algorithms that absorb existing gender and racial prejudices. AI is replicating the same conceptions of gender roles that are being removed in the real world. For instance, Apple’s Siri, Microsoft’s Cortana and Amazon’s Alexa are essentially modelled after efficient and subservient secretaries. This seemingly innocuous assignment of female characteristics to AI personalities has dangerous implications. These chatbots reportedly receive sexually-charged messages on a regular basis. More damaging still is the fact that they are programmed to respond deferentially or even play along with such suggestions.
Voices of disembodied, supportive AI tend to be female as both men and women find them less threatening. This comfort in issuing orders to a female voice is inherently problematic that tech companies have now acknowledged. Not only are companies investing in developing male bots and genderless bots, reportedly when someone asks Cortana, “Are you a girl?” she replies, “No. But I’m awesome like a girl.” Similarly, Alexa has been described as a ‘self-identified feminist’. While feminist female chatbots are encouraging, they can hardly solve the inbuilt sexism by design of AI. As AI grows in influence and gender biases continue seeping through algorithms, existing inequalities will be exacerbated. In India, for instance, the legal sector is gradually embracing AI, which is expected to improve speed and efficiency by automating tasks such as document drafting, undertaking legal research and due diligence. Similarly, news-writing bots are now functioning in the world of journalism. In both cases, AI will autonomously generate output by identifying story angles based on algorithms with ‘built-in’ criteria. When cases involving sexual violence and their portrayal in traditional news media are already under scrutiny, it’s important to question how male-hegemonic data sets will impact future news stories and court coverage of sexual assault and other topics requiring greater gender sensitivity. Since only 29% of internet users and 28% of mobile phone owners in India are women, improving access to basic information and communication technology services and infrastructure remains critical. There is nothing inherently empowering or sexist about technology. It just reflects the values of its creators.
Source: https://blogs.economictimes.indiatimes.com

Direction: In the following number series only one number is wrong. Find out the wrong number.

Direction: In the following number series, only one number is wrong. Find out the incorrect number.

Direction: In the following number series, only one number is wrong. Find out the incorrect number.

Direction: In the following number series only one number is wrong. Find out the wrong number.

Direction: In each question below, some statements are given followed by some conclusions. You have to take the given statements to be true even if they seem to be at variance with commonly known facts. Read all the conclusions and then decide which of the given conclusions logically follows/follow from the given statements, disregarding commonly known facts.

Direction: In each question below, some statements are given followed by some conclusions. You have to take the given statements to be true even if they seem to be at variance with commonly known facts. Read all the conclusions and then decide which of the given conclusions logically follows/follow from the given statements, disregarding commonly known facts.

Direction: In each question below, some statements are given followed by some conclusions. You have to take the given statements to be true even if they seem to be at variance with commonly known facts. Read all the conclusions and then decide which of the given conclusions logically follows/follow from the given statements, disregarding commonly known facts.

Direction: In each question below, some statements are given followed by some conclusions. You have to take the given statements to be true even if they seem to be at variance with commonly known facts. Read all the conclusions and then decide which of the given conclusions logically follows/follow from the given statements, disregarding commonly known facts.

Direction: In the question below are given statements followed by some conclusions. You have to take the given statements to be true even if they seem to be at variance with commonly known facts. Read all the conclusions and then decide which of the given conclusions logically follows from the given statements disregarding commonly known facts.