Explainable AI LLM Responsible AI 
Unite.AI
OCTOBER 20, 2023
Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.
AWS Machine Learning Blog
NOVEMBER 15, 2024
The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.
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AI News
MARCH 7, 2024
Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.
IBM Journey to AI blog
OCTOBER 16, 2023
It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. Foundation models offer a breakthrough in AI capabilities to enable scalable and efficient deployment across various domains.
ODSC - Open Data Science
MARCH 20, 2025
Sessions: Keynotes: Eric Xing, PhD, Professor at CMU and President of MBZUAI: Toward Public and Reproducible Foundation Models Beyond Lingual Intelligence Book Signings: Sinan Ozdemir: Quick Start Guide to Large LanguageModels Matt Harrison: Effective Pandas: Patterns for Data Manipulation Workshops: Adaptive RAG Systems with Knowledge Graphs: Building (..)
Unite.AI
OCTOBER 25, 2024
A key component is the Enterprise Workbench , an industry- and LLM-agnostic tool that eliminates AI “hallucinations” by providing a controlled environment for developing contextual solutions on platforms like Mithril and Dexter. Explainability & Transparency: The company develops localized and explainable AI systems.
ODSC - Open Data Science
FEBRUARY 25, 2025
Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. This track will cover the latest best practices for managing AI models from development to deployment. This track will guide you in aligning AI systems with ethical standards and minimizing bias.
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