Leverage the human-in-the-loop approach to AI

An effective strategy for doing so ​is a human-in-the-loop approach, ​which uses a combination of machine and human intelligence ​to train, use, verify, and refine AI models.

Oversight is essential to ensure quality ​and accuracy when using AI tools. ​A human-in-the-loop approach blends the efficiency ​of AI tools with human insight ​that’s critical for practicing responsible AI

Responsible AI is the principle of developing ​and using AI ethically with the intent of benefiting people ​and society while avoiding harm.

• Knowledge cutoff is the concept that an AI model ​is trained at a specific point in time ​so it doesn’t have any knowledge of events ​or information after that date.
• Hallucinations are AI outputs that are not true. ​Hallucinations can be problematic ​because they can lead to misinformation, misinterpretation, ​or inappropriate responses ​that might damage a company’s reputation ​or result in customer dissatisfaction.