In this paper we focus on the evaluation of contextual autonomy for robots. More specifically, we propose a fuzzy framework for calculating the autonomy score for a small Unmanned Aerial Systems (sUAS) for performing a task while considering task complexity and environmental factors. Our framework is a cascaded Fuzzy Inference System (cFIS) composed of combination of three FIS which represent different contextual autonomy capabilities. We performed several experiments to test our framework in various contexts, such as endurance time, navigation, take off/land, and room clearing, with seven different sUAS. We introduce a predictive measure which improves upon previous predictive measures, allowing for previous real-world task performance to be used in predicting future mission performance.

This paper presented an XAI system specification and an interactive dialogue model to facilitate the creation of Explanation Experiences (EE). Such specifications combine the knowledge of XAI, domain and system experts of a use case to formalise target user groups and their explanation needs and to implement explanation strategies to address those needs. Formalising the XAI system promotes the reuse of existing explainers and known explanation needs that can be refined and evolved over time using user evaluation feedback. The abstract EE dialogue model formalised the interactions between a user and an XAI system. The resulting EE conversational chatbot is personalised to an XAI system at run-time using the knowledge captured in its XAI system specification. This seamless integration is enabled by using Behaviour Trees (BT) to conceptualise both the EE dialogue model and the explanation strategies. In the evaluation, we discussed several desirable properties of using BTs over traditionally used STMs or FSMs. BTs promote the reusability of dialogue components through the hierarchical nature of the design. Sub-trees are modular, i.e. a sub-tree is responsible for a specific behaviour, which can be designed in different levels of granularity to improve human interpretability. The EE dialogue model consists of abstract behaviours needed to capture EE, accordingly, it can be implemented as a conversational, graphical or text-based interface which caters to different domains and users. There is a significant computational cost when using BTs for modelling dialogue, which we mitigate by using memory. Overall, we find that the ability to create robust conversational pathways dynamically makes BTs a good candidate for designing and implementing conversation for creating explanation experiences.

The video game industry enjoys a meaningful footprint in California, supporting over 200,000 jobs in the state, from development work to hardware manufacturing and supplying, according to a 2020 study by the Entertainment Software Association, a video game trade organization. California employs over 17 million people in total, according to the Bureau of Labor Statistics. Video games are viewed by some as recession-proof -- people will always seek home entertainment, the logic goes -- and the industry benefited from a boost in attention and revenue at the start of the pandemic.

Alternative credit options can mean the difference between financial well-being and financial hardship for many borrowers. Fintech advancements such as buy-now-pay-later, plus the combination of credit models driven by artificial intelligence and machine learning, may pave the way for a fairer and more inclusive future of credit. But lessons from the financial crisis ring clear: When only one part of the market is required to comply with regulations, the other will compete by offering disadvantageous and risky products. Regulators are now faced with how to advance a regulatory framework that encourages innovation while protecting consumers. Buy now/pay later options spurred marked industry growth, as well as artificial intelligence and machine learning advances during the pandemic, with implications and improved assistance for underserved communities.

AI should be impartial, but it can also fail that test. AI may only be as good as the data fed into it, so the old adage of "garbage in, garbage out" applies here. IT managers must be careful with data sets used in machine learning and watch for deeper biases that might be built into any off-the-shelf tools. Thorough testing in this area is critical, not only for a properly functioning system but for one that meets the needs of the local community. EXPLORE: How states augment fraud detection with AI technology.

We've long known that computers can beat us at chess, so does it matter if they have started to beat us at more verbal and collaborative games such as Diplomacy? It certainly does, and suggests a future in which artificial intelligence may begin to play a growing role in the whole spectrum of international affairs, from crafting communiqués to solving disputes and analysing intelligence briefings. Diplomacy, a strategic board game that was a favourite of both Henry Kissinger and John F. Kennedy, is set in Europe before the first world war. The objective is to gain control of at least half the board by negotiating alliances via private one-to-one conversations. There are no binding agreements, so players can misrepresent their plans and double-deal.

Towards the end of last year, management consultant McKinsey published an article where the first paragraph was created by ChatGPT, the generative artificial intelligence (AI) language model. The article's authors admitted that the AI's attempt was "not perfect but overwhelmingly impressive". They noted that products like ChatGPT and GitHub Copilot take technology into realms once thought to be reserved for humans. "With generative AI, computers can now arguably exhibit creativity. They can produce original content in response to queries, drawing from data they've ingested and interactions with users," they said.

It's no secret that crypto-centric data breaches have been soaring recently, with this trend likely to increase in the foreseeable future, especially as cybercriminals continue to employ more sophisticated techniques to facilitate their attacks. To this point, losses emanating from various cryptocurrency hacks surged by approx. During October 2022 alone, a record $718 million was stolen from DeFi protocols across 11 different hacks, sending the year's cumulative hack-related losses over the $3B mark. Now many experts believe that artificial intelligence (AI) and machine learning (ML) -- with the latter being a subset of the former -- could help alleviate many of today's most urgent cybersecurity issues. ML-driven privacy systems are designed to learn and compute a project's regular network activity and subsequently detect and identify suspicious movements.

The latest smartwatches from Citizen feature an app that utilizes research into alertness and fatigue pulled from NASA plus A.I. models created by IBM Watson Studio to help you better understand the way your body performs each day. The app is called YouQ, and rather than only looking back at how you've performed, it also looks ahead. By tracking your sleep and through custom gamified tests, the YouQ app will work out daily "Power Fixes," which are recommended actions designed to improve alertness and minimize fatigue. The more you use the YouQ app and its actions, the more effectively the app can make recommendations about your day's ideal health activities. There are two new second-generation smartwatch models from Citizen, the CZ Smart Sport and the CZ Smart Casual, with the names giving away the basic style of each one.

Chatbots are at the front lines of an unrelenting AI invasion. The steady increase of artificial minds in our collective psyche is akin to mass immigration--barely noticed and easily overlooked, until it's too late. Our cultural landscape is being colonized by bots, and as with illegal aliens, much of our population welcomes this as "progress." The bots will keep us company. They will learn and absorb our personalities.