Agents: Autonomous programs in AI designed to perform tasks and make decisions on behalf of users, often learning and adapting from interactions to improve over time.
Agents: Autonomous programs in AI designed to perform tasks and make decisions on behalf of users, often learning and adapting from interactions to improve over time.
AI Bias & Fairness: The tendency of AI to reflect training data biases, leading to unfair outcomes that need mitigation.
AI Bias & Fairness: The tendency of AI to reflect training data biases, leading to unfair outcomes that need mitigation.
AI-assisted Creativity: Collaborative approach where AI and humans work together to push the boundaries of creative expression.
AI-assisted Creativity: Collaborative approach where AI and humans work together to push the boundaries of creative expression.
Algorithmic Justice: Efforts to address biases and inequalities in AI algorithms, promoting fairness for all.
Algorithmic Justice: Efforts to address biases and inequalities in AI algorithms, promoting fairness for all.
Artificial General Intelligence (AGI): AI w/ability to learn, understand, and apply intelligence to a broad range of tasks, similar to human cognitive skills. AGI can adapt and perform any task a human can. (Thanks Trenton Wirth)
Artificial General Intelligence (AGI): AI w/ability to learn, understand, and apply intelligence to a broad range of tasks, similar to human cognitive skills. AGI can adapt and perform any task a human can. (Thanks Trenton Wirth)