It is useful to talk through some examples of information systems that use AI. Posing questions encourages students to think more deeply about AI. Why is the AI-based system used? What are its benefits and what issues might arise? Introduce the concept that AI uses data (input), processes the data to make a prediction (process) and makes some sort of decision or action (output).
Image recognition is a form of teaching computers to see and understand pictures similar to how humans do. It's a way for machines to recognise objects, people, places or features in photos and videos.
Natural language processing (NLP) is the technology that powers a number of AI applications. It makes chatbots chat. It gives virtual assistants their ability to help. It performs sentiment analysis to classify emotions in text. And it translates language to break down language barriers.
Machine learning is a process that teaches computers to learn from examples to help them get better at tasks such as predicting, recommending and decision-making. It's what makes technology smarter!
AI and ethics are intertwined as society grapples with questions of fairness, privacy and accountability in the design and use of artificial intelligence (AI). Responsible AI development is crucial to ensure that AI systems benefit society, avoid bias, and respect human values and rights.
Recommender (or recommendation) systems are a type of information-filtering system that attempts to predict the rating or preference a user would give to an item.
Evaluating AI systems not only assesses their performance but also measures their impact on society, addressing ethical considerations and potential consequences of their use. It's a comprehensive process to ensure responsible and effective AI deployment.
