
What is Explainable AI (XAI)? | IBM
Nov 28, 2019 · XAI implements specific techniques and methods to ensure that each decision made during the ML process can be traced and explained. AI, on the other hand, often arrives at a result using an ML algorithm, but the architects of the AI systems do not fully understand how the algorithm reached that result.
What Is AI Interpretability? - IBM
Explainable AI (XAI) is used to identify the factors that led to the results. Various explainability methods can be used to present the models in ways that make their complex processes and underlying data science clear to a human being using natural language.
You asked. watsonx.ai delivers. - IBM
No need to scramble to pull together what you need for model training and generative AI development. Access a variety of powerful, low-cost, fit-for-purpose models, MLOps pipelines and AI runtimes that reside in one place for more efficient building of powerful applications with trusted data and built-in governance that you can effectively manage, monitor and govern across the …
What Is AI Safety? - IBM
Explainable AI (XAI) Many AI models, especially large language models (LLMs) , are "black boxes" that make decisions that are difficult for humans to interpret. Without transparency in the decision-making process, users are less likely to trust the results and recommendations.
What Is Deep Learning? - IBM
Jun 17, 2024 · Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
Chatbot for Healthcare - IBM watsonx Assistant
Digital and voice self-service, 24/7 Watsonx Assistant provides built-in integrations with key digital channels used by healthcare organizations — websites and online portals, SMS and email, or less formal social media messaging platforms like WhatsApp and Facebook Messenger.
What is blockchain and artificial intelligence (AI)? - IBM
"Blockchain and artificial intelligence (AI)" refers to the convergence of these two technologies, which brings new value to business through authenticity, augmentation and automation.
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks - IBM
Jul 6, 2023 · The easiest way to think about AI, machine learning, deep learning and neural networks is to think of them as a series of AI systems from largest to smallest, each encompassing the next.
What Is Black Box AI and How Does It Work? | IBM
Oct 29, 2024 · White box AI, also called explainable AI (XAI) or glass box AI, is the opposite of black box AI. It is an AI system with transparent inner workings. Users understand how the AI takes in data, processes it and arrives at a conclusion.
Watson - IBM
See how IBM Watson has advanced enterprise AI. IBM’s research in AI goes back to the 1950s and includes significant milestones like the supercomputer Deep Blue defeating chess grandmaster Garry Kasparov.