In order to widen the applicability of AI, we should thus adopt algorithms that provide a justification for their answers ("explainable AI"). For neural networks, this involve complementing the massive engineering efforts of the last years (which brought on the recent stunning results) with a de...
This study focuses on the effectiveness of i-Biomarker CaDx for CRC, employing significant data collection and leveraging insights from Generative AI (GenAI) and Explainable Artificial Intelligence (XAI).Methods:We collected various available datasets (e.g. GSE106817, etc.) encompassing 305 ...
Generative AI (Gen AI) is shaping the future of marketing. In the next decade, Gen AI will influence how marketers interact and communicate with customers,
Salesforce AI delivers trusted, extensible AI grounded in the fabric of ourSalesforce Platform. Utilise our AI in your customer data to create customisable, predictive and generative AI experiences to fit all your business needs safely. Bring conversational AI to any workflow, user, department and ...
Explainability:AI systems are sometimes opaque in their decision-making processes. This makes it difficult to understand how and why decisions are being made. Lack of transparency leads to mistrust and challenges the credibility of the technology. It is important to develop explainable AI syste...
Switzerland’s competitive AI ecosystem Nick Lynes, CEO and Co-founder, Flawless AI What is a Generative AI Hollywood film studio? Andre Freitas, Leader, Reasoning & Explainable AI Lab at IDIAP (Swiss) and University of Manchester What are the opportunities to develop Generative AI technologies in...
Explainable AI, or xAI, is the capacity of AI models to elucidate the reasoning behind their actions in a manner comprehensible to humans. This transparency is paramount for user trust, particularly in safety-critical domains likehealthcare, self-driving cars, or finance. AI providers align with...
Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.
occlusion removal, and more in medical images. An important issue for high-risk problems, such as the medical field, is the need to develop and use explainable AI models at the expense of black-box models; Generative AI models are not exempt from this obligation. The goal of this special ...
To address this, many have called for a focus on “explainable” AI, which could shed light on an algorithm’s accuracy, transparency and fairness. However, other stakeholders assert that explainability cannot effectively solve the black box AI problem, while some posit that black box model...