RESPONSIBLE AI BASED ON LLMS
Andreas Blumauer, Founder and CEO, Semantic Web Company
Michael Iantosca, Senior Director of Content Platforms, Avalara Inc.
July 14, 2023
Unraveling Controversies: The mixed emotions felt toward generative AI
After ChatGPT was made available to the public in November 2022, it became clear to even the biggest AI skeptics that a new era has now dawned and that AI will eventually enter many areas of life in the coming years.
Can AI become responsible?
ChatGPT attracted a lot of attention with its detailed answers covering a wide range of knowledge areas, but at the same time the call for responsible and explainable AI became louder again. Indeed, a notable drawback of generative AI, and large language models (LLMs) in particular, is their tendency to often generate superficial and inaccurate information that, moreover, does not provide any provenance information.
While it has become clear in recent months that generative AI and especially LLMs, on which ChatGPT is also based, are arguably fundamental building blocks of an enterprise-grade AI architecture, this needs to be complemented by other technologies and measures in order to speak of responsible AI. In particular, governance models and legal frameworks have yet to be put in place, as will be mandated, for example, by the EU in its forthcoming AI Act, to provide sufficient assurances to all stakeholders (investors, companies, citizens and consumers, etc.).
In this webinar, Michael Iantosca (Avalara) and Andreas Blumauer (Semantic Web Company) discuss the merging of LLMs and semantic technologies, in particular how knowledge graphs can be used in combination with services like ChatGPT to develop applications that combine the best of both worlds to lead to responsible, explainable generative AI.
Questions identified as critical, particularly for regulated industries, will focus on:
- What is the role of high-quality, well-structured training data?
- How should the ‘human-in-the-loop (HITL)’ design principle be evaluated in the context of LLMs?
- What AI applications for regulated industries, e.g. around ESG standards, are realistic in the immediate future?
Michael and Andreas have been working on the fusion of different AI, content and knowledge technologies for several decades, and at the end of this webinar still dare to look into the future to discuss and contrast different scenarios with more or less usable, respectively responsible AI.
We hope to see you there!
CEO at Semantic Web Company
Andreas Blumauer is CEO and co-founder of Semantic Web Company (SWC), the provider and developer of the PoolParty Semantic Platform. With headquarters in Vienna, Austria, but operating globally, SWC has worked with over 200 commercial, government, and non-profit organizations to deliver AI and semantic search solutions, knowledge platforms, content hubs, and related data modeling and integration services. SWC was named to KMWorld’s prestigious list of “100 Companies that Matter in Knowledge Management” from 2016 to 2021 and has been named multiple times in Gartner’s Magic Quadrant for Metadata Management Solutions and as a Sample Vendor in their Hype Cycle for Natural Language Technologies.
In his role as CEO, Andreas is responsible for both the strategic growth of the company and its organizational evolution toward a highly focused customer orientation. SWC has grown every year since its inception under his leadership, and has been able to develop a cutting-edge and unique software platform that is ISO 27001 certified, and deployed globally across a number of key industries.
A high profile partner network has been built around this platform, implementing scalable semantic AI platforms for his clients, many of whom are among the largest and most innovative companies in their industries.
Senior Director of Content Platforms, Avalara
Michael Iantosca is the Senior Director of Content Platforms at Avalara Inc. Michael spent 38 of his 40+ years at IBM as a content professional and pioneer – leading the design and development of multiple generations of advanced content management systems and technology that began at the very dawn of the structured content revolution in the early 80s. Dual trained as a content professional and systems engineer, he led the charge building some of the earliest content platforms based on structured content. Michael was responsible for forming the team at IBM that developed DITA XML – the most successful and widely adopted open standard for developing user assistance and other structure documentation.