Explainability and transparency in autonomous agents

Experts argue that panels of peers are essential for assessing the trustworthiness of artificial intelligence (AI) systems, as relying solely on individual experts may not provide a comprehensive evaluation. The call for peer panels emphasizes the need for diverse perspectives in understanding AI's implications and ensuring its responsible deployment. This approach aims to enhance accountability and transparency in AI development, addressing concerns about bias and reliability in AI technologies.

Disney star has introduced AI avatars representing deceased individuals, marking a significant development in the intersection of entertainment and artificial intelligence. This debut showcases the potential of AI technology to create lifelike representations of those who have passed away, raising questions about ethics and the future of digital personas. The event took place on November 17, 2025, and is expected to attract attention from both fans and industry experts alike.

The article reviews the work titled 'Exploring metaphors of AI: visualisations, narratives and perception,' highlighting the contributions of IceMing & Digit and Stochastic Parrots. It discusses how visual and narrative metaphors influence the understanding of artificial intelligence (AI). The research emphasizes the importance of these metaphors in shaping perceptions and fostering better images of AI, which is crucial in a rapidly evolving technological landscape. The work is licensed under CC-BY 4.0.

As passenger volumes surge, managing airport technology has become increasingly complex. A new wave of AI models is emerging to assist in synchronizing various systems within the airport tech stack, aiming to enhance operational efficiency and improve the overall passenger experience.

In 2025, the legal system began to intervene in the evolution of artificial intelligence (AI), establishing enforceable regulations to ensure responsible development. This shift indicates a growing recognition of the need for oversight in AI technologies, which have rapidly advanced and raised ethical concerns. The involvement of legal frameworks aims to balance innovation with accountability, addressing potential risks associated with AI applications in various sectors.

ADaSci has launched the Agentic AI Bootcamp for Leaders, aimed at enhancing AI capabilities among individuals and organizations. The program offers opportunities for certification and skill upgrades in AI and data science, catering to the growing demand for expertise in these fields.

The paper titled 'Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning' addresses the challenge of learning to reach goals in AI environments. It highlights the difficulty of reasoning over long horizons and proposes a method that integrates temporal difference and Monte Carlo approaches to estimate temporal distances between observations. The proposed method demonstrates superior performance in long-horizon tasks, achieving better results than existing methods, even with visual inputs.

An AI-assisted Augmented Reality (AR) assembly workflow has been developed, utilizing deep learning-based object recognition to identify assembly components and provide step-by-step instructions. The system displays bounding boxes around components in real-time, indicating their placement, thus eliminating the need for manual searching or sorting. A case study involving the assembly of LEGO sculptures demonstrates the system's feasibility and effectiveness in enhancing the assembly process.