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[HTML][HTML] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …
resulted in algorithms being adopted for resolving a variety of problems. However, this …
The emerging landscape of explainable ai planning and decision making
T Chakraborti, S Sreedharan… - arxiv preprint arxiv …, 2020 - arxiv.org
In this paper, we provide a comprehensive outline of the different threads of work in
Explainable AI Planning (XAIP) that has emerged as a focus area in the last couple of years …
Explainable AI Planning (XAIP) that has emerged as a focus area in the last couple of years …
Logic-based explainability in machine learning
J Marques-Silva - … Knowledge: 18th International Summer School 2022 …, 2023 - Springer
The last decade witnessed an ever-increasing stream of successes in Machine Learning
(ML). These successes offer clear evidence that ML is bound to become pervasive in a wide …
(ML). These successes offer clear evidence that ML is bound to become pervasive in a wide …
Explainable ai for robot failures: Generating explanations that improve user assistance in fault recovery
D Das, S Banerjee, S Chernova - Proceedings of the 2021 ACM/IEEE …, 2021 - dl.acm.org
With the growing capabilities of intelligent systems, the integration of robots in our everyday
life is increasing. However, when interacting in such complex human environments, the …
life is increasing. However, when interacting in such complex human environments, the …
Explainable reinforcement learning for broad-xai: a conceptual framework and survey
Broad-XAI moves away from interpreting individual decisions based on a single datum and
aims to provide integrated explanations from multiple machine learning algorithms into a …
aims to provide integrated explanations from multiple machine learning algorithms into a …
Foundations of explanations as model reconciliation
S Sreedharan, T Chakraborti, S Kambhampati - Artificial Intelligence, 2021 - Elsevier
Past work on plan explanations primarily involved the AI system explaining the correctness
of its plan and the rationale for its decision in terms of its own model. Such soliloquy is …
of its plan and the rationale for its decision in terms of its own model. Such soliloquy is …
Explainable security
L Vigano, D Magazzeni - 2020 IEEE European Symposium on …, 2020 - ieeexplore.ieee.org
In 2017, the Defense Advanced Research Projects Agency (DARPA) launched the
Explainable Artificial Intelligence (XAI) program that aims to create a suite of new AI …
Explainable Artificial Intelligence (XAI) program that aims to create a suite of new AI …
A review on applications of artificial intelligence over Indian legal system
Homo sapiens–'man, who knows' is the name given to humankind due to the knowledge
and intelligence that they possess. Science and technology have escalated aspects of this …
and intelligence that they possess. Science and technology have escalated aspects of this …
Semantic-based explainable ai: Leveraging semantic scene graphs and pairwise ranking to explain robot failures
D Das, S Chernova - … on Intelligent Robots and Systems (IROS), 2021 - ieeexplore.ieee.org
When interacting in unstructured human environments, occasional robot failures are
inevitable. When such failures occur, everyday people, rather than trained technicians, will …
inevitable. When such failures occur, everyday people, rather than trained technicians, will …
Resolving misconceptions about the plans of agents via theory of mind
M Shvo, TQ Klassen, SA McIlraith - Proceedings of the International …, 2022 - ojs.aaai.org
For a plan to achieve some goal--to be valid--a set of sufficient and necessary conditions
must hold. In dynamic settings, agents (including humans) may come to hold false beliefs …
must hold. In dynamic settings, agents (including humans) may come to hold false beliefs …