There are two main types of AI: narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems. Examples include voice assistants like Siri and Alexa, recommendation algorithms used by streaming platforms, and image recognition systems. In contrast, general AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess human-level intelligence and can perform almost any intellectual task that a human can do.
AI has a wide range of applications across various industries and domains. It is used in healthcare for disease diagnosis and drug discovery, in finance for fraud detection and algorithmic trading, in transportation for autonomous vehicles, and in customer service for chatbots.
Although many individuals and companies now use AI in their daily tasks, AI systems lack common sense reasoning and understanding, as well as the ability to fully replicate human intelligence and consciousness.
There are two main types of AI: narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems. Examples include voice assistants like Siri and Alexa, recommendation algorithms used by streaming platforms, and image recognition systems. In contrast, general AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess human-level intelligence and can perform almost any intellectual task that a human can do.
AI has a wide range of applications across various industries and domains. It is used in healthcare for disease diagnosis and drug discovery, in finance for fraud detection and algorithmic trading, in transportation for autonomous vehicles and in customer service for chatbots.
Although many individuals and companies now use AI in their daily tasks, AI systems lack common sense reasoning and understanding, as well as the ability to fully replicate human intelligence and consciousness.
AI Uses for Text
- Text Completion: Given a prompt or sentence, AI can generate a coherent and plausible continuation.
- Text Generation: AI can generate coherent and creative text on a given topic, such as writing an essay or a news article.
- Chatbots: AI can be used to develop conversational agents or chatbots that can converse with users in a natural and engaging way.
- Language Translation: AI can be used for machine translation of text from one language to another.
- Text Summarization: AI can be used to summarize long documents or articles into shorter and more digestible summaries.
- Sentiment Analysis: AI can be used to analyze the sentiment of a given text, whether it’s positive, negative or neutral.
- Recommendation Systems: AI algorithms can analyze user preferences, behaviours, and patterns to provide personalized recommendations. They are commonly used in e-commerce, streaming platforms, and content recommendation.
- Data Analytics: AI techniques are employed in data analytics to extract insights, identify patterns, and make predictions from large and complex datasets. This can help businesses and organizations in areas such as predictive analytics, fraud detection, and customer segmentation.
AI Uses for Images & Video
- Image Recognition: AI algorithms can be trained to recognize and classify objects, people, and scenes within images. This technology is employed in various applications, such as facial recognition, object detection, and image categorization.
- Object Detection and Tracking: AI systems can identify and track specific objects within images or videos. This is useful in applications like surveillance, autonomous driving, and robotics.
- Image Captioning: AI models can generate natural language descriptions or captions for images. This capability is utilized in areas like accessibility for visually impaired individuals and content indexing.
- Image Generation: AI techniques like generative adversarial networks (GANs) can generate new, realistic images. This has applications in areas such as art, design, and content creation.
- Image Restoration and Enhancement: AI algorithms can restore old or damaged images, remove noise or artifacts, and enhance image quality. This is particularly useful in fields like archaeology, forensics, and digital imaging.
- Medical Imaging Analysis: AI is employed in medical imaging to assist in diagnosis, screening, and treatment planning. It can help detect abnormalities in X-rays, MRIs, and CT scans, aiding radiologists in their interpretation.
- Augmented Reality (AR): AI plays a crucial role in AR technologies, which overlay virtual information onto the real world. AI algorithms are used to track and recognize objects in real-time, enabling virtual objects to interact with the physical environment.
Part One
- Write down a few ideas you have for creating a better balance between people and nature.
- Take your notes and paste them into Chat GPT and ask it to improve and add to your ideas.
- Discuss how Chat GPT’s results relate to your original notes. Consider the accuracy and creativity of the generated text.
- Revise your original work based on the Chat GPT continuation, using critical thinking and analytical skills to improve your writing.
Part Two
- Divide into pairs or small groups.
- Have each group start a conversation with Chat GPT on the topic of biodiversity.
- Encourage students to ask follow-up questions and use critical thinking to engage with Chat GPT’s responses.
- After the conversation, each group will report back to the class on their experience with Chat GPT – what they learned, what worked and what didn’t – to help showcase the opportunities and limitations AI presents.
Sample Prompts
- Explore the concept of sustainable development. What are some successful examples of sustainable development projects around the world? Why is the term controversial?
- Investigate the impact of human activities on ecosystems and biodiversity. How can we mitigate negative effects and promote a better balance between people and nature?
- Research the concept of ecosystem services and their significance in sustaining both human well-being and ecological health. What ecosystem services can we not live without?
- Analyze the challenges and opportunities associated with urbanization and its impact on the natural environment. How can cities be designed and managed to enhance the quality of life for residents while minimizing their ecological footprint?
- Investigate Indigenous traditional ecological knowledge. How can traditional wisdom and cultural practices contribute to balancing the needs of people and nature?
- Research the concept of green infrastructure and its role in urban planning. How can the integration of natural elements such as parks, green roofs and urban forests help restore ecological balance in cities?
- Investigate the economic benefits of sustaining biodiversity. How can sustainable business practices and green entrepreneurship contribute to balancing the needs of people and nature?
Sample Uses
- Research complex issues quickly
- Find examples that can help illustrate a point
- Improve studying by creating quizzes and clarifying information
- Review finished assignments to ensure they are accurate, complete and free of spelling/grammar errors
- Ask it to define words and phrases you don’t understand
- Assist with topic or project brainstorming
- Use AI to debates issues and understand different perspectives
- Get help with summarizing large texts or scientific papers
- Ask AI to help prepare for interviews by providing sample questions and answers
- Create apps with AI
- Get help designing an informative slideshow and get tips on presentation style
- Help create and test ideas or prototypes, and look for ways to improve a product, idea or service
- Get help writing scripts for podcasts, movies or plays
Resources
Jobs of the Future: Emerging Trends in Artificial Intelligence
10 Awesome & High-Paying AI Careers to Pursue in 2023
35 Ways Real People Are Using A.I. Right Now
Getting Schooled by Artificial Intelligence: How to use AI to improve classroom learning