Đề 12 – Bài tập, đề thi trắc nghiệm online Trí tuệ nhân tạo trong kinh doanh

A A. By eliminating all risks entirely, ensuring complete safety and security. B B. By identifying potential risks, predicting their likelihood and impact, and enabling proactive mitigation strategies. C C. By ignoring potential risks and focusing solely on potential rewards. D D. By increasing operational complexity and introducing new unforeseen risks.

A A. Reduced operational costs through automation and optimization. B B. Increased manual labor and reduced automation in workflows. C C. Enhanced customer experiences through personalization and improved service. D D. Improved decision-making based on data-driven insights and predictions.

A A. Manually inspecting each product for defects. B B. Predictive maintenance of machinery to reduce downtime and optimize production schedules. C C. Ignoring data from production lines and relying solely on human intuition. D D. Slowing down production lines to ensure manual oversight of every step.

A A. Human Resources (HR) - e.g., recruitment and talent management. B B. Marketing and Sales - e.g., personalized advertising and lead scoring. C C. Operations and Supply Chain - e.g., predictive maintenance and demand forecasting. D D. Creative Arts and Design - e.g., purely subjective artistic creation without data analysis.

A A. Replacing human jobs entirely with AI-powered systems. B B. Using AI tools to enhance human capabilities and make jobs more efficient and effective, rather than replacing humans. C C. Ignoring the impact of AI on the workforce and job roles. D D. Intentionally decreasing human productivity to justify AI adoption.

A A. It refers to AI systems that are physically black in color and difficult to see. B B. It describes AI systems, particularly complex neural networks, whose decision-making processes are opaque and difficult for humans to understand. C C. It is a term for AI systems that are intentionally hidden from business users. D D. It means AI systems that are not connected to the internet.

A A. The overabundance of readily available, perfectly clean, and labeled data. B B. The ease of integrating AI systems with existing legacy infrastructure. C C. The need for high-quality data, specialized skills, and understanding of AI limitations. D D. Universally low initial investment costs for AI projects.

A A. To replace human employees entirely. B B. To enhance decision-making and operational efficiency. C C. To complicate business processes and increase costs. D D. To solely focus on technological advancement regardless of business needs.

A A. AI will eliminate all jobs, leading to mass unemployment. B B. AI is likely to automate routine and repetitive tasks, potentially displacing some jobs, but also creating new jobs and transforming existing roles to focus on higher-level skills and human-centric tasks. C C. AI will have no significant impact on the job market; all jobs will remain unchanged. D D. AI will only create low-skill, low-paying jobs.

A A. The inherent superiority of AI algorithms over human decision-making. B B. Systematic and repeatable errors in AI systems that create unfair outcomes, often due to biased training data or flawed algorithm design. C C. Random errors that occur unpredictably in AI systems. D D. The intentional programming of AI systems to discriminate against certain groups.

A A. Building physical robots to replace human workers in factories. B B. Using software 'robots' to automate repetitive, rule-based digital tasks. C C. Developing advanced AI algorithms for complex decision-making. D D. A type of AI focused on creative content generation.

A A. Increased efficiency in screening large volumes of applications. B B. Potential for algorithmic bias leading to unfair or discriminatory hiring practices. C C. Reduced cost associated with manual resume reviews. D D. Standardization of candidate evaluation criteria.

A A. Replacing all human customer service agents immediately. B B. Handling simple and routine inquiries, freeing up human agents for complex issues. C C. Intentionally frustrating customers to reduce service requests. D D. Generating random responses regardless of customer queries.

A A. Focusing solely on maximizing profits regardless of ethical implications. B B. Ensuring fairness, transparency, accountability, and privacy in AI systems and their applications. C C. Assuming AI systems are inherently neutral and unbiased. D D. Ignoring potential societal impacts of AI technologies.

A A. By replacing human judgment entirely and making decisions autonomously without human oversight. B B. By processing large volumes of data quickly, identifying patterns, and providing insights to support human decision-makers. C C. By making decisions based on random chance to ensure unpredictability. D D. By deliberately ignoring relevant data to simplify the decision-making process.

A A. Increased customer satisfaction and loyalty due to personalized recommendations. B B. The 'filter bubble' effect, where users are only exposed to a limited range of options, potentially reducing discovery and diversity of choices. C C. Improved efficiency in product discovery and browsing. D D. Higher conversion rates and sales due to relevant product suggestions.

A A. Sending the same generic advertisement to all customers. B B. Recommending products to customers based on their past purchase history and browsing behavior. C C. Manually segmenting customers without using data analysis. D D. Ignoring customer preferences and trends in marketing campaigns.

A A. Natural Language Processing (NLP). B B. Computer Vision. C C. Rule-based Expert Systems. D D. Robotic Process Automation (RPA).

A A. It is a type of AI that is intentionally made more complex and difficult to understand. B B. It refers to AI systems designed to provide clear and understandable explanations for their decisions and actions, crucial for trust, accountability, and regulatory compliance. C C. It is a marketing term with no technical significance in AI. D D. It is a less accurate form of AI that prioritizes simplicity over performance.

A A. By making customer interactions less personalized and more generic. B B. By providing faster, more personalized service, and anticipating customer needs. C C. By intentionally delaying customer service responses to manage costs. D D. By eliminating all human touchpoints in customer interactions.

A A. Automated resume screening and candidate shortlisting. B B. Predictive analytics for employee attrition and retention. C C. Facial recognition for employee surveillance to monitor productivity. D D. Chatbots for answering employee FAQs and providing HR support.

A A. Guaranteeing future outcomes with 100% accuracy. B B. Identifying potential future trends and risks to inform strategic decisions. C C. Eliminating the need for human intuition and experience in forecasting. D D. Focusing solely on past data without considering external factors.

A A. By making the supply chain more rigid and less adaptable to changes. B B. By optimizing logistics, predicting demand fluctuations, and improving inventory management. C C. By solely relying on manual processes and ignoring data analysis. D D. By intentionally creating inefficiencies to justify AI investments.

A A. AI is less accurate than traditional rule-based systems in detecting fraud. B B. AI can analyze vast amounts of data in real-time and identify subtle patterns indicative of fraud that traditional rules might miss. C C. AI relies solely on pre-defined rules and cannot adapt to new fraud patterns. D D. AI increases false positives and requires more manual review than traditional methods.

A A. It is a programming language used to build AI systems; it is used for coding AI algorithms. B B. It is a field of AI focused on enabling computers to understand, interpret, and generate human language; used in chatbots, sentiment analysis, etc. C C. It is a type of hardware designed to process language data; used in server rooms. D D. It is a business strategy focused on using only natural, organic language in marketing materials.

A A. A type of AI that allows systems to learn from data without explicit programming. B B. A physical machine that performs automated tasks in manufacturing. C C. A software program designed to strictly follow pre-defined rules. D D. A method of manually coding complex algorithms for specific business problems.

A A. A simple form of AI that follows basic pre-programmed rules. B B. A subset of Machine Learning that uses artificial neural networks with multiple layers to analyze data and learn complex patterns. C C. A method of manually coding AI algorithms by human experts. D D. A type of AI that is only applicable to academic research and not business.

A A. It is the process of manually reading customer reviews and labeling them as positive or negative. B B. It is an AI technique that uses Natural Language Processing (NLP) to determine the emotional tone (positive, negative, neutral) expressed in text data like customer reviews or social media posts. C C. It is a method of ignoring customer feedback to maintain a consistent brand image. D D. It is a marketing strategy to manipulate customer emotions through advertising.

A A. Data is irrelevant; AI algorithms can function effectively without data. B B. High-quality, relevant, and sufficient data is crucial for training effective AI models and achieving desired business outcomes. C C. Only small amounts of data are needed to build robust AI systems. D D. Data can be completely random and unstructured; AI can still learn effectively.

A A. Decreased efficiency and slower response times. B B. Reduced innovation and adaptability due to lack of human oversight and critical thinking. C C. Increased need for human intervention and manual labor. D D. Lower operational costs and increased profitability in all scenarios.