Artificial Intelligence — Set 2

Correct Answer: D. Machine Learning

• **Deep learning** = machine learning approach using multi-layered artificial neural networks for complex pattern recognition. • **Unsupervised unlabeled learning** — learns from unstructured data without requiring labeled examples or human guidance. • 💡 Wrong-option analysis: A (Cloud Computing): distributed computing infrastructure, not learning methodology; B (Database Management): data storage systems, not learning algorithms; C (Cyber Security): security protection systems, not learning approach.

Correct Answer: A. Errors caused by prejudiced assumptions in the data

• **AI bias** = systematic prejudiced errors in algorithm outputs resulting from flawed or discriminatory training data. • **Ethical fairness concern** — bias causes unfair treatment in hiring decisions, criminal justice, and lending systems. • 💡 Wrong-option analysis: B (Processing speed): computational performance metric, not fairness issue; C (Storage capacity): hardware memory measurement, unrelated to bias; D (Language ability): multilingual capability, not algorithmic fairness.

Correct Answer: C. A medical diagnosis program that uses rules

• **Expert systems** = AI programs using rule-based reasoning to solve complex problems by mimicking human expert knowledge. • **If-then rule logic** — uses conditional statements (if condition, then action) to encode expert decision-making processes. • 💡 Wrong-option analysis: A (Calculator): performs arithmetic, lacks reasoning capability; B (Keyboard): input hardware device, no AI logic; D (Monitor): display hardware, passive output device with no decision-making.

Correct Answer: D. To gather data about the physical environment

• **Sensors** = devices enabling robots to perceive environment via visual, auditory, and tactile input for intelligent decisions. • **Environmental data collection** — cameras capture images, LIDAR measures distances, pressure sensors detect touch and contact. • 💡 Wrong-option analysis: A (Weight increase): physical mass addition, not functionality; B (Print documents): information output, not environmental sensing; C (Play music): audio production, not perception or data gathering.

Correct Answer: A. Finding hidden patterns or clusters in unlabeled data

• **Unsupervised learning** = algorithms discovering hidden patterns and clusters in unlabeled data without predefined categories. • **Data structure discovery** — identifies customer segments, topic clusters, and anomalies based on inherent data relationships. • 💡 Wrong-option analysis: B (Price prediction): requires labeled training examples (supervised), not pattern discovery; C (Human instructions): task execution, not pattern finding; D (Hardware cleaning): physical maintenance, unrelated to learning algorithms.

Correct Answer: C. Python

• **Python** = preferred AI language due to simplicity, readability, and extensive specialized library ecosystem. • **ML/DL frameworks** — supports TensorFlow, PyTorch, Scikit-learn, and other advanced libraries for model development. • 💡 Wrong-option analysis: A (HTML): markup language for web structure, not computation; B (CSS): styling language for web design, not algorithms; D (SQL): database query language, not machine learning framework.

Correct Answer: D. Recommendation Engines

• **Recommendation engines** = ML algorithms analyzing user behavior history to predict and suggest future preferences. • **Collaborative filtering** — identifies patterns by correlating similar users' histories to generate personalized recommendations. • 💡 Wrong-option analysis: A (Blockchain): distributed ledger technology, not content recommendation; B (Virtualization): computing resource abstraction, unrelated to suggestions; C (Encryption): data security mechanism, not preference prediction.

Correct Answer: A. Cleaning and organizing raw data before training

• **Data preprocessing** = preparing raw data for training by ensuring consistency, accuracy, and optimal format. • **Cleaning operations** — removes duplicates, handles missing values, corrects outliers, and normalizes data scale. • 💡 Wrong-option analysis: B (Buying computers): hardware procurement task, not data preparation; C (Printing results): output delivery, happens after training; D (Deleting information): data destruction, opposite of proper data management.

Correct Answer: C. Create new content like text, images, or music

• **Generative AI** = trained models producing original new data (text, images, audio) resembling the training dataset. • **Content creation capability** — generates realistic text paragraphs, novel artwork, and synthesized speech from learned patterns. • 💡 Wrong-option analysis: A (Delete files): data removal task, not content generation; B (Virus scanning): cybersecurity function, not AI generation; D (Manage internet): network administration, unrelated to content creation.

Correct Answer: D. The difficulty in explaining how an AI reached a specific decision

• **Black box problem** = lack of transparency in how complex neural networks process data and generate decisions. • **Interpretability gap** — difficult for humans to trace the exact logic and reasoning steps leading to AI's output. • 💡 Wrong-option analysis: A (Physical container): robot storage, not algorithmic concern; B (Data center cost): infrastructure expense, unrelated to decision explanation; C (Internet type): network protocol, not AI transparency issue.