BUILDING TRUST, SECURITY AND PRIVACY IN AI: NLP WORKSHOP SERIES
Why should we care about these three elements? Why should users and companies care? Because it isn’t necessarily baked in from design to build when deploying NLP applications
How do we streamline this and build it right?
Can you make your own changes/add to the build?
AI Transparency, Integrity, Privacy & Security AI TIPS Model ©
OutSecure can help create a risk-based approach so that you can build systems with trust, transparency, and a demonstrable lack of bias. and protect again adversarial cyber threats.
We have created an AI TIPS framework ( Artificial Intelligence Transparency Integrity Privacy Security framework), this is based on years of creating and implementing holistic risk based programs for Global companies.
What is AI TIPS:
It is a holistic conceptual model to operationalize governance and help AI systems follow a risk-based approach that can address business objectives and Regulations. We work with AI product developers as well as AI model developers.
Essential Pillars of Trustworthy AI
As we trust AI systems to make decisions – it is essential that we trust the output of these systems to inform our decision making and realize the full potential of AI.
