Introduction
AI applications have existed since the mid-1950s, but AI solutions have become more common in recent years. This increase is due to the rise in computer processing power and increases in investment and available data. AI is now deployed in every sector. AI can be integrated with many technologies, such as biometric systems, chatbots, mobile applications, and crisis maps to improve data analytics and data-driven decision making.
Learning objectives
Upon completion of this module, you'll be able to:
- Define AI technologies and contextualize the difference between them
- Describe the benefits of some of the most recent generative and agentic AI tools
- Identify ethical and human rights concerns and how to reduce them
- Apply human-in-the-loop techniques to address authenticity, copyright, accuracy, and reliability issues and risks