GenAI FAQs

What is Artificial Intelligence (AI)?

There are many ways to categorize Artificial Intelligence (AI), and that term can mean different things to different people. AI has been around in some capacity for over a decade. Generally speaking, AI refers to computer systems that are designed to mimic tasks that are normally performed by a human. These tasks may include understanding language, recognizing patterns, making decisions, or generating creative content.

What is Generative AI?

Generative AI tools are machine learning systems, which are capable of processing and generating vast amounts of data. This includes Large Language Models (LLMs) that can create new content, such as text, images, code, or audio, based on patterns it has learned from existing human created data.

GenAI is trained to emulate human thought, speech, art, etc. And it is capable of processing data very quickly and can see patterns or solve problems much faster than most people. But it is far from perfect.

How does AI work?

Most modern AI systems are built on machine learning algorithms trained on human created data to process and generate large amounts of data. These models identify patterns and use them to make predictions, answer questions, or generate new outputs.

What are some common uses of AI today?

AI is widely used across industries and everyday life, including:

  • Digital assistants and chatbots
  • Image recognition and medical imaging
  • Fraud detection in finance
  • Recommendation systems (shopping, streaming, social media)
  • Scientific research and data analysis
  • Creative applications like writing, music, and art

What are the benefits of using AI?

AI can increase efficiency, uncover insights in large datasets, support creativity, and help automate repetitive or complex tasks. It has the potential to accelerate scientific discoveries, improve accessibility, and enhance human decision making.

What are the risks or challenges with AI?

AI systems can also raise concerns, such as:

  • Bias and fairness – AI may reflect biases present in training data.
  • Privacy – Systems trained on personal or sensitive data can raise ethical issues.
  • Misinformation – Generative AI can produce convincing but inaccurate outputs.
  • Over Reliance – Humans may place too much trust in AI recommendations.
    Responsible use, transparency, and oversight are critical to addressing these challenges.
  • Energy Consumption – Generative AI uses a lot of power in both its training and with each response, image, etc. that is generates.

Can AI replace humans?

AI can perform many tasks, but it does not replicate the full scope of human intelligence, creativity, or judgment. Most effective uses of AI are human and AI collaborations, where the technology augments human abilities rather than replacing them.

How should I use AI responsibly?

  • Treat AI outputs as suggestions, not absolute truth.
  • Verify important facts with trusted sources.
  • Avoid entering sensitive, confidential, or personal information.
  • Be mindful of bias and check results critically.
  • Consider the ethical and societal impacts of your AI use.

What skills do I need to start working with AI?

You don’t need to be a computer scientist to get started. Many AI tools are accessible with simple interfaces. However, learning the basics of:

  • Data literacy
  • Critical thinking
  • Ethical awareness
  • (Optionally) coding and machine learning concepts
    …will help you make the most of AI.

Where can I learn more?

There are many free and paid resources available, including: