Using generative AI without safeguards alone can lead to data privacy issues, inaccurate results, hallucinations, and many other risks, challenges, and limitations. It’s important for companies to work with vendors that have industry-standard principles and frameworks in place to ensure they can responsibly adopt generative AI at scale.
To help organizations mitigate these risks, Alteryx integrates various mechanisms within its platform to control these challenges and simplify the AI governance process throughout the lifecycle, while remaining grounded in principles that help us and our customers adopt AI responsibly. For example, we built our platform to provide private data processing capabilities, allowing our customers to track their AI training and deployment entirely within their own firewall.
Finally, it is essential to put in place appropriate controls and integrate human feedback mechanisms to enable continuous verification and validation of AI models. This ensures their accuracy, reliability and suitability for the desired results.
