As the AI hype cycle reaches a fever pitch, some companies are inflating their AI capabilities, leading to poor performance, inaccurate results, and perpetuated biases.
Manish Sood joined a panel hosted by Jill Malandrino on Nasdaq Trade Talks about the dangers of AI Washing and the importance of AI Ethics.
The key to combating AI Washing? Data management and data quality. Companies must prioritize:
- Trusted, real-time connected data
- Transparency about data usage
- Ensuring data quality and diversity
- Accurate presentation of data-driven insights
- Data privacy and security
Ignoring the need for clean, trusted data can lead to regulatory fines and damage to brand reputation. Consumers, researchers, and regulators must critically evaluate AI claims and demand transparency to avoid AI Washing.
Check out the panel discussion here.