We are delighted to extend an invitation to you for an upcoming webinar titled “MAKING AI BEHAVE: Using Knowledge Domains to Produce Useful, Trustworthy Results.” The webinar is scheduled for March 26, 2024 at 10:00 am MT.
As the use of artificial intelligence (AI) continues to proliferate across various sectors, ensuring its responsible and ethical implementation becomes paramount. Building digital trust in AI requires collaboration across stakeholders, including businesses, policymakers, researchers and civil society. By fostering dialogue, sharing best practices and collaborating on ethical guidelines and regulatory frameworks, stakeholders can collectively address challenges and promote responsible AI innovation. Collaboration enables the development of AI ecosystems grounded in trust, transparency and ethical principles.
Register in advance for this webinar. After registering, you will receive a confirmation email containing information about joining the webinar.
Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact, and it potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
