Connecting all the dots is not always the right solution.
Antilogic helps in making AI systems more transparent and accountable, ultimately leading to better and more trustworthy AI solutions.
- Adversarial Testing: Creating scenarios where the AI's logic is challenged to see how it responds and adapts.
- Bias Detection: Identifying and addressing biases in AI models by using counter-arguments to highlight potential issues.
- Model Validation: Ensuring that AI models are consistent and reliable by testing them against a wide range of logical scenarios.