Artificial intelligence (AI) is any computer program designed to mimic human intelligence, which enables them to learn, problem-solve, and understand language.
There are diverse types of AI applied across various industries. Delivery drones, medical detection scanners, QuillBot’s Grammar Checker, and the virtual assistant on your smartphone are all AIs.
Continue reading: What Is AI? | How It Works, Types & Examples
In a recent IBM video about AI ethics, Phaedra Boinodiris, a global leader in ethical AI and author of AI for the Rest of Us, said that three AI-related ethical issues keep her up at night:
Generative AI has only been around for a few years, and it’s profoundly changed professional workflows, student writing, hiring practices, and eligibility for anything from mortgages to college admissions. The technology can also lead to adverse effects, such as culture and gender biases, privacy violations, and misinformation.
Using generative AI responsibly involves understanding the risks and AI ethics.
Continue reading: AI Ethics | Considerations & Strategies
Since ChatGPT was released in 2022, generative AI has become ubiquitous. It’s an integral part of the Google search experience, and it’s embedded in most of the tools that students and professionals use every day.
Now that generative AI is literally everywhere, understanding how it works is a crucial part of digital literacy, critical thinking, and academic integrity.
Generative AI is an artificial intelligence technology that generates original media, such as text, images, or videos. To generate this media, generative AI tools (e.g., ChatGPT, Gemini, or Davinci AI) need prompts from human users. For example, you can prompt generative AI tools to draft a cover letter or create a song in a particular style.
Continue reading: What Is Generative AI? | Meaning & Examples
AI is getting better and better at writing texts that mimic humans. This means it’s becoming increasingly important to understand how to detect AI writing and know when content was written by a human.
There are strategies that can help detect AI writing, including:
Continue reading: How to Detect AI Writing | 9 Methods
One consequence of the AI boom has been a surge in AI detectors—sometimes called AI writing detectors or AI content detectors. AI detectors work by analyzing features of a text and evaluating if they better match human samples or AI-generated samples.
These tools are becoming increasingly popular, as people want to know when AI has been used in the writing they work with.
However, just because AI detectors are popular doesn’t mean they are always reliable. Therefore, it’s important to understand how AI detectors work, so as to better understand the results they give us.
Continue reading: How Do AI Detectors Work? | Techniques & Accuracy
