ICAPS-21 Explainable AI Planning

With Tathagata Chakraborti, Rebecca Eifler, Joerg Hoffmann, Benjamin Krarup, Alan Lindsay, Sarath Sreedharan and Stylianos Loukas Vasileiou, I am coorganizing the Workshop on Explainable AI Planning (XAIP).

As artificial intelligence (AI) is increasingly being adopted into application solutions, the challenge of supporting interacting with humans is becoming more apparent. Partly this is to support integrated working styles, in which humans and intelligent systems cooperate in problem-solving, but also it is a necessary step in the process of building trust as humans migrate greater competence and responsibility to such systems. The challenge is to find effective ways to characterise, and to communicate, the foundations of AI-driven behaviour, when the algorithms and the knowledge on which those algorithms operate are far from transparent to humans. While XAI at large is primarily concerned with black-box learning-based approaches, model-based approaches are well suited — arguably better suited — for explanation, and Explainable AI Planning (XAIP) can play an important role in addressing complex decision-making procedures.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s