Our interdisciplinary approach will ensure that your AI system is compliant and ethical, providing your team a competitive advantage.
1 Pre-Existing Bias
Originates from historical and societal inequities, reflecting the prejudices and stereotypes that are present in prior data sources.
2 Algorithmic Bias
Occurs during the data processing or model training phase due to technical limitations or design choices that might not account for the complexities of real-world situations.
3 Emergent Bias
Emerges over time as AI systems adapt and learn from new data, reflecting unforeseen consequences of AI's interaction with real-world inputs.