IBM Design for AI
To design for a relationship with AI, we need to know ourselves first. Our practice is built on IBM’s Principles for the AI Era as a resource for all designers and developers. This shared collection of ethics, guidelines, and resources ensures that IBM products share a unified foundation.
AI design ethics overview - IBM
Our practice is built on our Principles for the AI Era as a resource for all designers and developers. This shared collection of ethics, guidelines, and resources ensures that IBM products share a unified foundation.
What is responsible AI? | IBM
Responsible artificial intelligence (AI) is a set of principles that help guide the design, development, deployment and use of AI—building trust in AI solutions that have the potential to empower organizations and their stakeholders.
AI Ethics - IBM
IBM leaders Christina Montgomery and Joshua New outline three key priorities for policymakers to mitigate the harms of deepfakes. Read more. Our principles and pillars The Principles for Trust and Transparency are the guiding values that distinguish the IBM approach to AI ethics.
What is AI Ethics? - IBM
IBM has three core principles that dictate its approach to data and AI development, which are: The purpose of AI is to augment human intelligence. This means that we do not seek to replace human intelligence with AI, but support it.
Toward General Design Principles for Generative AI Applications
Six principles are focused on designing for characteristics of generative AI: multiple outcomes & imperfection; exploration & control; and mental models & explanations. In addition, we urge designers to design against potential harms that may be caused by a generative model's hazardous output, misuse, or potential for human displacement.
Fundamentals - IBM
Our practice is built on our Principles for the AI Era as a resource for all designers and developers. This shared collection of ethics, guidelines, and resources ensures that IBM products share a unified foundation.
What Is Chatbot Design? - IBM
Chatbot design is the convergence of user experience (UX) design, user interface (UI) design, copywriting, conversational AI and machine learning in the deployment of chatbots, interactive voice response (IVR) and virtual agents. It dictates interaction with human users, intended outcomes and performance optimization.
Design Principles for Generative AI Applications - IBM Research
We present six principles for the design of generative AI applications that address unique characteristics of generative AI UX and offer new interpretations and extensions of known issues in the design of AI applications.
IBM Design
Apr 18, 2023 · A collection of guidelines, resources, and ethics to give you what you need to design human-centric AI solutions.