AFFECTxAI

The Future of
Affective Computing

A set of processes and methods
XAI uses various techniques to explain the results and output of machine learning algorithms.
Countering the "black box"
It works against the tendency of some AI models to arrive at a decision without a clear, understandable reason.
Improving user understanding
The goal is to help users of AI-powered systems understand how those systems reason, which is crucial for adoption and development.

User Controlled Affective Computing

Black and white image of a grassy field under a cloudy sky.
Example 1
A complete platform for real-time voice-based emotion analysis and understanding.
Black and white macro shot of a textured, wet surface, possibly stone or metal.
Example 2
The latest facial emotion recognition technology, providing deep insights into human affect.
Black and white low-angle shot of a person's feet and legs as they walk on a gravel path.
Example 3
A groundbreaking SDK for integrating emotional intelligence into your applications.