In this 60-second video, we discuss Explainable AI (XAI) and its importance in building trust in AI systems. Trust is crucial for AI adoption and helps prevent “AI washing,” where companies misrepresent their AI capabilities. XAI consists of processes and methods that clarify how AI produces its outputs, ensuring transparency and user understanding.
Learn how XAI enhances decision-making, reduces risks, and uncovers potential biases in AI systems.
Watch now to discover the role of Explainable AI in promoting trust and transparency!
To learn more about Juniper Explainable AI, visit:
Explainable AI: https://www.juniper.net/us/en/dm/explainable-ai.html
Juniper’s AI-Native Networking Platform: https://www.juniper.net/us/en/ai-native-networking-platform.html
AIOps: https://www.juniper.net/us/en/solutions/artificial-intelligence-for-it-operations-aiops.html
Mist AI: https://www.juniper.net/us/en/products/mist-ai.html
Marvis: https://www.juniper.net/us/en/products/cloud-services/marvis-virtual-network-assistant.html
