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Test: True, False and Can`t Tell - 3 - UCAT MCQ


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20 Questions MCQ Test - Test: True, False and Can`t Tell - 3

Test: True, False and Can`t Tell - 3 for UCAT 2025 is part of UCAT preparation. The Test: True, False and Can`t Tell - 3 questions and answers have been prepared according to the UCAT exam syllabus.The Test: True, False and Can`t Tell - 3 MCQs are made for UCAT 2025 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: True, False and Can`t Tell - 3 below.
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Test: True, False and Can`t Tell - 3 - Question 1
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Generative AI models create content like text, images, and music, transforming creative industries. In 2025, these models boosted creative output by 30%, saving $45 billion in production costs. Diffusion models, used in 65% of applications, excel in image generation but require 40% more computational power. A 2024 survey found 60% of businesses use generative AI for marketing. Privacy concerns, with 50% of users fearing data misuse, limit trust. The U.S. leads with 35% of global generative AI patents. Critics argue these models lack originality, while supporters highlight efficiency. Small businesses, with 55% lacking AI expertise, struggle to adopt. Public awareness is high, with 70% of consumers using AI-generated content daily. Regulatory frameworks, absent in 45% of countries, create inconsistencies. Training costs, averaging $25,000 per model, burden smaller firms. Renewable energy powers 30% of AI data centers.
Generative AI models boosted creative output by 30% in 2025.

Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 1
The passage states, "these models boosted creative output by 30%," confirming the statement, making Option A true. Option B is incorrect as the increase is explicitly mentioned. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 2
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Generative AI models create content like text, images, and music, transforming creative industries. In 2025, these models boosted creative output by 30%, saving $45 billion in production costs. Diffusion models, used in 65% of applications, excel in image generation but require 40% more computational power. A 2024 survey found 60% of businesses use generative AI for marketing. Privacy concerns, with 50% of users fearing data misuse, limit trust. The U.S. leads with 35% of global generative AI patents. Critics argue these models lack originality, while supporters highlight efficiency. Small businesses, with 55% lacking AI expertise, struggle to adopt. Public awareness is high, with 70% of consumers using AI-generated content daily. Regulatory frameworks, absent in 45% of countries, create inconsistencies. Training costs, averaging $25,000 per model, burden smaller firms. Renewable energy powers 30% of AI data centers.
Most businesses use generative AI for product development.

Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 2
The passage states, "60% of businesses use generative AI for marketing," not product development, making Option B false. Option A is incorrect as the passage specifies marketing. Option C is wrong as the passage provides evidence of usage.
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Test: True, False and Can`t Tell - 3 - Question 3
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Generative AI models create content like text, images, and music, transforming creative industries. In 2025, these models boosted creative output by 30%, saving $45 billion in production costs. Diffusion models, used in 65% of applications, excel in image generation but require 40% more computational power. A 2024 survey found 60% of businesses use generative AI for marketing. Privacy concerns, with 50% of users fearing data misuse, limit trust. The U.S. leads with 35% of global generative AI patents. Critics argue these models lack originality, while supporters highlight efficiency. Small businesses, with 55% lacking AI expertise, struggle to adopt. Public awareness is high, with 70% of consumers using AI-generated content daily. Regulatory frameworks, absent in 45% of countries, create inconsistencies. Training costs, averaging $25,000 per model, burden smaller firms. Renewable energy powers 30% of AI data centers.
Generative AI models have eliminated privacy concerns completely.

Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 3
The passage states, "Privacy concerns, with 50% of users fearing data misuse," indicating concerns persist, making Option B false. Option A is incorrect as concerns remain. Option C is wrong as the passage confirms the issue.
Test: True, False and Can`t Tell - 3 - Question 4
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Generative AI models create content like text, images, and music, transforming creative industries. In 2025, these models boosted creative output by 30%, saving $45 billion in production costs. Diffusion models, used in 65% of applications, excel in image generation but require 40% more computational power. A 2024 survey found 60% of businesses use generative AI for marketing. Privacy concerns, with 50% of users fearing data misuse, limit trust. The U.S. leads with 35% of global generative AI patents. Critics argue these models lack originality, while supporters highlight efficiency. Small businesses, with 55% lacking AI expertise, struggle to adopt. Public awareness is high, with 70% of consumers using AI-generated content daily. Regulatory frameworks, absent in 45% of countries, create inconsistencies. Training costs, averaging $25,000 per model, burden smaller firms. Renewable energy powers 30% of AI data centers.
The U.S. is the only country with generative AI patents.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 4
The passage states, "The U.S. leads with 35% of global generative AI patents," but does not confirm it is the only country, making Option C correct. Option A is not supported as exclusivity is not stated. Option B is incorrect as the passage does not deny other countries.
Test: True, False and Can`t Tell - 3 - Question 5
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AI-powered automation streamlines workflows across industries. In 2025, automation reduced operational costs by 25%, saving $80 billion globally. Robotic process automation (RPA), used in 70% of systems, boosts efficiency but requires 30% more setup time. A 2024 survey found 65% of firms prioritize automation for repetitive tasks. Cybersecurity risks, affecting 20% of systems, raise concerns. China leads with 30% of global automation patents. Critics argue automation displaces jobs, while supporters highlight productivity. Small businesses, with 60% lacking automation expertise, face adoption barriers. Public trust, with 55% of workers fearing job loss, is low. Regulatory standards, absent in 40% of countries, create gaps. Training costs, averaging $15,000 per system, burden smaller firms. Renewable energy powers 35% of automation servers.
Automation reduced operational costs by 25% in 2025.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 5
The passage states, "automation reduced operational costs by 25%," confirming the statement, making Option A true. Option B is incorrect as the reduction is explicitly mentioned. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 6
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AI-powered automation streamlines workflows across industries. In 2025, automation reduced operational costs by 25%, saving $80 billion globally. Robotic process automation (RPA), used in 70% of systems, boosts efficiency but requires 30% more setup time. A 2024 survey found 65% of firms prioritize automation for repetitive tasks. Cybersecurity risks, affecting 20% of systems, raise concerns. China leads with 30% of global automation patents. Critics argue automation displaces jobs, while supporters highlight productivity. Small businesses, with 60% lacking automation expertise, face adoption barriers. Public trust, with 55% of workers fearing job loss, is low. Regulatory standards, absent in 40% of countries, create gaps. Training costs, averaging $15,000 per system, burden smaller firms. Renewable energy powers 35% of automation servers.
Most firms use automation primarily for customer service.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 6
The passage states, "65% of firms prioritize automation for repetitive tasks," not customer service, making Option B false. Option A is incorrect as the passage specifies repetitive tasks. Option C is wrong as the passage provides evidence of usage.
Test: True, False and Can`t Tell - 3 - Question 7
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AI-powered automation streamlines workflows across industries. In 2025, automation reduced operational costs by 25%, saving $80 billion globally. Robotic process automation (RPA), used in 70% of systems, boosts efficiency but requires 30% more setup time. A 2024 survey found 65% of firms prioritize automation for repetitive tasks. Cybersecurity risks, affecting 20% of systems, raise concerns. China leads with 30% of global automation patents. Critics argue automation displaces jobs, while supporters highlight productivity. Small businesses, with 60% lacking automation expertise, face adoption barriers. Public trust, with 55% of workers fearing job loss, is low. Regulatory standards, absent in 40% of countries, create gaps. Training costs, averaging $15,000 per system, burden smaller firms. Renewable energy powers 35% of automation servers.
Automation has eliminated all cybersecurity risks.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 7
The passage states, "Cybersecurity risks, affecting 20% of systems," indicating risks persist, making Option B false. Option A is incorrect as risks remain. Option C is wrong as the passage confirms the issue.
Test: True, False and Can`t Tell - 3 - Question 8
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AI-powered automation streamlines workflows across industries. In 2025, automation reduced operational costs by 25%, saving $80 billion globally. Robotic process automation (RPA), used in 70% of systems, boosts efficiency but requires 30% more setup time. A 2024 survey found 65% of firms prioritize automation for repetitive tasks. Cybersecurity risks, affecting 20% of systems, raise concerns. China leads with 30% of global automation patents. Critics argue automation displaces jobs, while supporters highlight productivity. Small businesses, with 60% lacking automation expertise, face adoption barriers. Public trust, with 55% of workers fearing job loss, is low. Regulatory standards, absent in 40% of countries, create gaps. Training costs, averaging $15,000 per system, burden smaller firms. Renewable energy powers 35% of automation servers.
China is the only country with automation patents.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 8
The passage states, "China leads with 30% of global automation patents," but does not confirm it is the only country, making Option C correct. Option A is not supported as exclusivity is not stated. Option B is incorrect as the passage does not deny other countries.
Test: True, False and Can`t Tell - 3 - Question 9
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AI ethics addresses fairness and accountability in algorithms. In 2025, ethical AI frameworks reduced bias incidents by 20%, impacting 45% of systems. A 2024 survey found 60% of developers prioritize fairness, but 35% lack ethics training. Transparent models, adopted by 50% of firms, increase trust but raise costs by 15%. The EU leads with 30% of global AI ethics standards. Critics argue ethical AI slows innovation, while supporters emphasize public trust. Small businesses, with 65% of lacking ethics expertise, face compliance challenges. Public concern, with 55% of users distrusting AI, drives demand. Regulatory frameworks, absent in 50% of countries, create gaps. Bias audits, costing $12,000 per model, are standard in 55% of large firms. Renewable energy powers 40% of AI training centers.
Ethical AI frameworks reduced bias incidents by 20% in 2025.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 9
The passage states, "ethical AI frameworks reduced bias incidents by 20%," confirming the statement, making Option A true. Option B is incorrect as the reduction is explicitly mentioned. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 10
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AI ethics addresses fairness and accountability in algorithms. In 2025, ethical AI frameworks reduced bias incidents by 20%, impacting 45% of systems. A 2024 survey found 60% of developers prioritize fairness, but 35% lack ethics training. Transparent models, adopted by 50% of firms, increase trust but raise costs by 15%. The EU leads with 30% of global AI ethics standards. Critics argue ethical AI slows innovation, while supporters emphasize public trust. Small businesses, with 65% lacking ethics expertise, face compliance challenges. Public concern, with 55% of users distrusting AI, drives demand. Regulatory frameworks, absent in 50% of countries, create gaps. Bias audits, costing $12,000 per model, are standard in 55% of large firms. Renewable energy powers 40% of AI training centers.
Most AI developers lack ethics training.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 10
The passage states, "35% lack ethics training," indicating most developers have training, making Option B false. Option A is incorrect as the majority have training. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 11
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AI ethics addresses fairness and accountability in algorithms. In 2025, ethical AI frameworks reduced bias incidents by 20%, impacting 45% of systems. A 2024 survey found 60% of developers prioritize fairness, but 35% lack ethics training. Transparent models, adopted by 50% of firms, increase trust but raise costs by 15%. The EU leads with 30% of global AI ethics standards. Critics argue ethical AI slows innovation, while supporters emphasize public trust. Small businesses, with 65% lacking ethics expertise, face compliance challenges. Public concern, with 55% of users distrusting AI, drives demand. Regulatory frameworks, absent in 50% of countries, create gaps. Bias audits, costing $12,000 per model, are standard in 55% of large firms. Renewable energy powers 40% of AI training centers.
Ethical AI has eliminated all bias incidents.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 11
The passage states, "reduced bias incidents by 20%," indicating incidents persist, making Option B false. Option A is incorrect as reduction is not elimination. Option C is wrong as the passage confirms partial reduction.
Test: True, False and Can`t Tell - 3 - Question 12
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AI ethics addresses fairness and accountability in algorithms. In 2025, ethical AI frameworks reduced bias incidents by 20%, impacting 45% of systems. A 2024 survey found 60% of developers prioritize fairness, but 35% lack ethics training. Transparent models, adopted by 50% of firms, increase trust but raise costs by 15%. The EU leads with 30% of global AI ethics standards. Critics argue ethical AI slows innovation, while supporters emphasize public trust. Small businesses, with 65% lacking ethics expertise, face compliance challenges. Public concern, with 55% of users distrusting AI, drives demand. Regulatory frameworks, absent in 50% of countries, create gaps. Bias audits, costing $12,000 per model, are standard in 55% of large firms. Renewable energy powers 40% of AI training centers.
The EU is the only region with AI ethics standards.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 12
The passage states, "The EU leads with 30% of global AI ethics standards," but does not confirm it is the only region, making Option C correct. Option A is not supported as exclusivity is not stated. Option B is incorrect as the passage does not deny other regions.
Test: True, False and Can`t Tell - 3 - Question 13
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AI in financial services enhances fraud detection and trading. In 2025, AI reduced fraud losses by 25%, saving $50 billion. Machine learning models, used in 70% of banks, improve accuracy but require 35% more data processing. A 2024 survey found 60% of institutions prioritize AI for risk assessment. Privacy concerns, affecting 45% of customers, limit trust. The U.S. leads with 40% of global AI finance patents. Critics argue AI increases market volatility, while supporters highlight efficiency. Small banks, with 65% lacking AI expertise, face adoption barriers. Public awareness, with 50% of customers unaware of AI benefits, is low. Regulatory approval, absent in 40% of countries, delays progress. Training costs, averaging $20,000 per model, burden smaller firms. Renewable energy powers 30% of AI systems.
AI reduced fraud losses by 25% in 2025.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 13
The passage states, "AI reduced fraud losses by 25%," confirming the statement, making Option A true. Option B is incorrect as the reduction is explicitly mentioned. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 14
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AI in financial services enhances fraud detection and trading. In 2025, AI reduced fraud losses by 25%, saving $50 billion. Machine learning models, used in 70% of banks, improve accuracy but require 35% more data processing. A 2024 survey found 60% of institutions prioritize AI for risk assessment. Privacy concerns, affecting 45% of customers, limit trust. The U.S. leads with 40% of global AI finance patents. Critics argue AI increases market volatility, while supporters highlight efficiency. Small banks, with 65% lacking AI expertise, face adoption barriers. Public awareness, with 50% of customers unaware of AI benefits, is low. Regulatory approval, absent in 40% of countries, delays progress. Training costs, averaging $20,000 per model, burden smaller firms. Renewable energy powers 30% of AI systems.
Most financial institutions use AI primarily for customer service.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 14
The passage states, "60% of institutions prioritize AI for risk assessment," not customer service, making Option B false. Option A is incorrect as the passage specifies risk assessment. Option C is wrong as the passage provides evidence of usage.
Test: True, False and Can`t Tell - 3 - Question 15
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AI in financial services enhances fraud detection and trading. In 2025, AI reduced fraud losses by 25%, saving $50 billion. Machine learning models, used in 70% of banks, improve accuracy but require 35% more data processing. A 2024 survey found 60% of institutions prioritize AI for risk assessment. Privacy concerns, affecting 45% of customers, limit trust. The U.S. leads with 40% of global AI finance patents. Critics argue AI increases market volatility, while supporters highlight efficiency. Small banks, with 65% lacking AI expertise, face adoption barriers. Public awareness, with 50% of customers unaware of AI benefits, is low. Regulatory approval, absent in 40% of countries, delays progress. Training costs, averaging $20,000 per model, burden smaller firms. Renewable energy powers 30% of AI systems.
AI has eliminated all fraud in financial services.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 15
The passage states, "AI reduced fraud losses by 25%," indicating fraud persists, making Option B false. Option A is incorrect as reduction is not elimination. Option C is wrong as the passage confirms partial reduction.
Test: True, False and Can`t Tell - 3 - Question 16
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AI in financial services enhances fraud detection and trading. In 2025, AI reduced fraud losses by 25%, saving $50 billion. Machine learning models, used in 70% of banks, improve accuracy but require 35% more data processing. A 2024 survey found 60% of institutions prioritize AI for risk assessment. Privacy concerns, affecting 45% of customers, limit trust. The U.S. leads with 40% of global AI finance patents. Critics argue AI increases market volatility, while supporters highlight efficiency. Small banks, with 65% lacking AI expertise, face adoption barriers. Public awareness, with 50% of customers unaware of AI benefits, is low. Regulatory approval, absent in 40% of countries, delays progress. Training costs, averaging $20,000 per model, burden smaller firms. Renewable energy powers 30% of AI systems.
The U.S. is the only country with AI finance patents.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 16
The passage states, "The U.S. leads with 40% of global AI finance patents," but does not confirm it is the only country, making Option C correct. Option A is not supported as exclusivity is not stated. Option B is incorrect as the passage does not deny other countries.
Test: True, False and Can`t Tell - 3 - Question 17
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AI for climate solutions optimizes energy use and predicts environmental changes. In 2025, AI reduced carbon emissions by 15%, saving $35 billion in mitigation costs. Predictive models, used in 60% of climate projects, improve accuracy but require 40% more data processing. A 2024 survey found 55% of governments prioritize AI for climate monitoring. Data access issues, affecting 30% of projects, limit progress. Japan leads with 25% of global climate AI patents. Critics argue AI diverts focus from direct action, while supporters highlight scalability. Developing nations, with 70% lacking AI infrastructure, lag behind. Public support, with 60% of citizens unaware of AI benefits, is low. Regulatory standards, absent in 45% of countries, create gaps. Training costs, averaging $18,000 per model, burden smaller projects. Renewable energy powers 50% of AI systems.
AI reduced carbon emissions by 15% in 2025.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 17
The passage states, "AI reduced carbon emissions by 15%," confirming the statement, making Option A true. Option B is incorrect as the reduction is explicitly mentioned. Option C is wrong as the passage provides clear evidence.
Test: True, False and Can`t Tell - 3 - Question 18
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AI for climate solutions optimizes energy use and predicts environmental changes. In 2025, AI reduced carbon emissions by 15%, saving $35 billion in mitigation costs. Predictive models, used in 60% of climate projects, improve accuracy but require 40% more data processing. A 2024 survey found 55% of governments prioritize AI for climate monitoring. Data access issues, affecting 30% of projects, limit progress. Japan leads with 25% of global climate AI patents. Critics argue AI diverts focus from direct action, while supporters highlight scalability. Developing nations, with 70% lacking AI infrastructure, lag behind. Public support, with 60% of citizens unaware of AI benefits, is low. Regulatory standards, absent in 45% of countries, create gaps. Training costs, averaging $18,000 per model, burden smaller projects. Renewable energy powers 50% of AI systems.
Most governments use AI primarily for disaster response.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 18
The passage states, "55% of governments prioritize AI for climate monitoring," not disaster response, making Option B false. Option A is incorrect as the passage specifies climate monitoring. Option C is wrong as the passage provides evidence of usage.
Test: True, False and Can`t Tell - 3 - Question 19
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AI for climate solutions optimizes energy use and predicts environmental changes. In 2025, AI reduced carbon emissions by 15%, saving $35 billion in mitigation costs. Predictive models, used in 60% of climate projects, improve accuracy but require 40% more data processing. A 2024 survey found 55% of governments prioritize AI for climate monitoring. Data access issues, affecting 30% of projects, limit progress. Japan leads with 25% of global climate AI patents. Critics argue AI diverts focus from direct action, while supporters highlight scalability. Developing nations, with 70% lacking AI infrastructure, lag behind. Public support, with 60% of citizens unaware of AI benefits, is low. Regulatory standards, absent in 45% of countries, create gaps. Training costs, averaging $18,000 per model, burden smaller projects. Renewable energy powers 50% of AI systems.
AI has eliminated all carbon emissions.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 19
The passage states, "AI reduced carbon emissions by 15%," indicating emissions persist, making Option B false. Option A is incorrect as reduction is not elimination. Option C is wrong as the passage confirms partial reduction.
Test: True, False and Can`t Tell - 3 - Question 20
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AI for climate solutions optimizes energy use and predicts environmental changes. In 2025, AI reduced carbon emissions by 15%, saving $35 billion in mitigation costs. Predictive models, used in 60% of climate projects, improve accuracy but require 40% more data processing. A 2024 survey found 55% of governments prioritize AI for climate monitoring. Data access issues, affecting 30% of projects, limit progress. Japan leads with 25% of global climate AI patents. Critics argue AI diverts focus from direct action, while supporters highlight scalability. Developing nations, with 70% lacking AI infrastructure, lag behind. Public support, with 60% of citizens unaware of AI benefits, is low. Regulatory standards, absent in 45% of countries, create gaps. Training costs, averaging $18,000 per model, burden smaller projects. Renewable energy powers 50% of AI systems.
Japan is the only country with climate AI patents.
Detailed Solution for Test: True, False and Can`t Tell - 3 - Question 20
The passage states, "Japan leads with 25% of global climate AI patents," but does not confirm it is the only country, making Option C correct. Option A is not supported as exclusivity is not stated. Option B is incorrect as the passage does not deny other countries.
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