Artificial Intelligence (AI) is gaining widespread recognition for its impact on various industries, but only a select few truly understand its intricacies. Terms like “chatbots,” “machine learning,” and “large language models” often deter people from delving into discussions about this technology. However, with a little effort, you can familiarize yourself with the essential jargon related to AI. The challenge lies in finding trustworthy sources of information that offer relevant and useful data. Luckily, this article aims to bridge that gap by discussing key AI terminologies, such as “ChatGPT” and “algorithm,” eliminating the need to sift through countless sources. It also provides links to other articles for additional information. Here are 25 AI words that you should become familiar with:
1. Artificial intelligence and AGI:
Artificial intelligence refers to technology that can simulate human intelligence and perform various tasks. It was once only found in science fiction stories but has now become a reality with programs like ChatGPT. Many experts believe that we will achieve artificial general intelligence (AGI) in the near future, which refers to technology that can fully replicate human behavior and mental abilities.
2. AI ethics:
AI ethics encompasses the principles and guidelines that ensure AI does not harm humans. Organizations like the University of the Philippines have developed principles for responsible AI, including public good, meaningful human control, transparency, fairness, safety, environmental friendliness, collaboration, accountability, and governance. However, these principles are still a work in progress and open to improvement based on public opinion.
3. AI safety:
AI safety is an interdisciplinary field that focuses on understanding the long-term effects and consequences of AI. It includes considerations of ethics and the impact AI can have on society. The Vatican and Pope Francis have recently highlighted the need for vigilance in ensuring AI aligns with the good of humanity.
4. Algorithm:
An algorithm is a set of instructions or rules that a computer program follows to execute specific tasks. In the context of AI, algorithms guide bots in analyzing data to perform various functions. For example, algorithms help AI image generators recognize patterns in user images to modify specific elements while preserving others.
5. Alignment:
Alignment in AI refers to adjusting an AI system to produce desired results effectively. This may involve moderating content to maintain positive interactions with humans. Alignment is crucial to address biases and ensure AI technology benefits everyone.
6. Bias:
AI systems are designed to mimic humans, which means they can develop biases. Biases can manifest during AI training, where developers tweak algorithms using large datasets. These biases reflect the beliefs and perspectives of the human developers, sometimes resulting in unintended consequences, such as the alteration of an individual’s appearance or the misrepresentation of certain groups.
7. Big data:
Big data refers to datasets that are too large or complex to be processed using traditional methods. In the context of AI, big data encompasses the vast amount of information available on the internet. AI tools, like ChatGPT, can analyze this data to extract valuable insights and patterns to improve decision-making.
8. Chatbot:
A chatbot is a software application that simulates conversations with human users through text or voice prompts. Advancements in AI have significantly enhanced chatbots, allowing them to provide more human-like responses by analyzing the user’s input.
9. ChatGPT:
ChatGPT is the world’s most popular AI chatbot. It gained popularity after generating text from short user prompts, such as jokes, poems, and research papers. It provides various responses and has expanded its availability from a website service to mobile apps on Android and iOS platforms.
10. Data Science:
Data Science combines math, statistics, programming, advanced analytics, AI, and machine learning to uncover actionable insights from vast amounts of data. It has become a sought-after field as industries increasingly rely on data processing for decision-making.
11. Deep learning:
Deep learning is an AI method inspired by the human brain. It enables computers to recognize complex patterns in various types of data, such as images, text, and sounds, leading to accurate insights and predictions. Self-driving vehicles and medical image analyses are notable applications of deep learning techniques.
12. Emergent behavior:
Emergent behavior refers to unintended behaviors exhibited by AI programs. These behaviors arise due to the complexity of AI systems and can have both positive and negative effects. Organizations like Google are actively working to understand and manage emergent behavior in their AI systems.
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