What are the challenges in the governance of generative AI and LLMs?
Generative AI brings new risks, including:
- Biased or unreliable data sources from the internet, which can lead to misinformation and bias
- Lack of transparency in terms of copyright and data protection
- “Hallucinations” of AI models that generate false or misleading content
- Lack of regulation and legal uncertainties that pose challenges for companies in regulated industries
Why is strong AI governance important?
Companies must ensure that their AI systems operate ethically, transparently and in compliance with the law. Without governance, there is a risk of poor decisions, regulatory breaches and reputational damage. AI governance helps to monitor models, identify risks at an early stage and meet regulatory requirements.
What is the difference between generative AI, LLMs and foundation models?
- Generative AI encompasses a wide range of AI models that can generate new content based on large amounts of data.
- Large Language Models (LLMs) are specifically optimized for language processing and can generate human-like texts.
- Foundation models are more versatile than LLMs and can be used for various tasks such as chatbots, translations or the creation of creative content.
What makes IBM watsonx.governance unique in the field of AI governance?
IBM watsonx.governance offers a comprehensive platform for the governance and monitoring of AI models, both for machine learning (ML) and for large language models (LLMs). Important unique selling points are:
- Unified governance for ML and LLM models on one platform
- AI governance in three central areas: Lifecycle management, risk minimization and compliance with internal and external requirements
- Automated documentation and traceability of model facts through so-called factsheets
What role does EBCONT play in the cooperation with IBM watsonx?
EBCONT supports companies in the implementation and optimization of IBM watsonx.governance. Our service portfolio includes integrating the platform into existing IT infrastructures, automating governance processes and ensuring compliance and quality standards. Our expertise enables the efficient, transparent and compliant use of AI technologies.
