As reliance on AI systems for decision-making grows, it becomes critical to ensure that human users can appropriately balance trust in AI suggestions with their own judgment, especially in high-stakes domains like healthcare. However, human + AI teams have been shown to perform worse than AI alone, with evidence indicating automation bias as the reason for poorer performance, particularly because humans tend to follow AI's recommendations even when they are incorrect. In many existing human + AI systems, decision-making support is typically provided in the form of text explanations (XAI) to help users understand the AI's reasoning. Since human decision-making often relies on System 1 thinking, users may ignore or insufficiently engage with the explanations, leading to poor decision-making. Previous research suggests that there is a need for new approaches that encourage users to engage with the explanations and one proposed method is the use of cognitive forcing functions (CFFs). In this work, we examine how various decision-support mechanisms impact user engagement, trust, and human-AI collaborative task performance in a diabetes management decision-making scenario. In a controlled experiment with 108 participants, we evaluated the effects of six decision-support mechanisms split into two categories of explanations (text, visual) and four CFFs. Our findings reveal that mechanisms like AI confidence levels, text explanations, and performance visualizations enhanced human-AI collaborative task performance, and improved trust when AI reasoning clues were provided. Mechanisms like human feedback and AI-driven questions encouraged deeper reflection but often reduced task performance by increasing cognitive effort, which in turn affected trust. Simple mechanisms like visual explanations had little effect on trust, highlighting the importance of striking a balance in CFF and XAI design.

Gardening experts Mickey and Vicky Popat join'Fox & Friends Weekend' to celebrate National Gardening Week. Gardening could help aging adults stay sharp later in life, according to a recent study published in the Journal of Environmental Psychology. Researchers at the University of Edinburgh in Scotland found that tending to gardens at an older age is associated with "small but detectable cognitive benefits." The long-term study tracked participants who shared details of their lifestyles and completed "frequent assessments" of their thinking skills up to age 90. ELLEN DEGENERES HAS OSTEOPOROSIS: HERE'S WHAT TO KNOW ABOUT THE PAINFUL BONE CONDITION The "Lothian Birth Cohort 1921" study followed people who were born in the Edinburgh area, starting at age 11.

Artificial Intelligence (AI) systems, especially generative AI technologies are becoming more relevant in our society. Tools like ChatGPT are being used by members of the disabled community e.g., Autistic people may use it to help compose emails. The growing impact and popularity of generative AI tools have prompted us to examine their relevance within the disabled community. The design and development phases often neglect this marginalized group, leading to inaccurate predictions and unfair discrimination directed towards them. This could result from bias in data sets, algorithms, and systems at various phases of creation and implementation. This workshop paper proposes a platform to involve the disabled community while building generative AI systems. With this platform, our aim is to gain insight into the factors that contribute to bias in the outputs generated by generative AI when used by the disabled community. Furthermore, we expect to comprehend which algorithmic factors are the main contributors to the output's incorrectness or irrelevancy. The proposed platform calls on both disabled and non-disabled people from various geographical and cultural backgrounds to collaborate asynchronously and remotely in a democratic approach to decision-making.

Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler and Sara-Jo Swiatek are the authors of a new book entitled: Computing and Technology Ethics: Engaging Through Science Fiction. We caught up with them to find out more about the book, what it covers, and what inspired them to use science fiction as a tool to teach about ethics. In addition to the content chapters there is a science fiction anthology at the end of the book containing 12 stories from contemporary authors including Ken Liu, T.C. Boyle, Elizabeth Bear, Paolo Bacigalupi, and Rebecca Roanhorse. The book also provides Story Frames for each story that includes an introduction and reflection questions that tie the story, the characters, and their choices to the ethical frameworks. Each of these stories is anchored in multiple places in the content chapters through what we call Story Points where that story picks up on themes and/or ideas from the chapter.

Machine learning is changing almost every industry. It has revolutionized everything from agriculture to healthcare diagnosis. It has revolutionized the way businesses operate and helped to accelerate their growth. Machine learning algorithms have been adopted by the gaming industry to enhance video games' engagement. ML can be used for high-speed game development.

Artificial intelligence (AI) is at the top of the list of game changing technologies for chief information officers (CIOs). AI may also be the key to unlocking humanity's problem-solving capabilities but engaging with AI is not necessarily intuitive. Business leaders may find it difficult to understand how specific AI advances can be applied to their organisations and how to begin integrating AI technology at scale. Using AI may not always be the right -- or even necessary -- approach. Before considering the integration of AI into their IT organization, CIOs and business leaders should map out the most pressing problems, prioritise them, and then determine which technology would best solve those challenges.

Europe is focussed on making robots that work for the benefit of society. This requires empowering future roboticists and users of all ages and backgrounds. In its 9th edition, the European Robotics Week (#ERW2019) is expected to host more than 1000 events across Europe. Over the years, and over 5,000 events, the organisers have learned a thing or two about reaching the public, and ultimately making the robots people want. For many, robots are only seen in the media or science fiction.

W e present a set of capabilities allowing an agent planning with moral and social norms represented in temporal logic to respond to queries about its norms and behaviors in natural language, and for the human user to add and remove norms directly in natural language. The user may also pose hypothetical modifications to the agent's norms and inquire about their effects.

Pushing more ads is not the answer; marketers need to get smarter about their approach to deliver personalized experiences at scale. The right AI technology can make the difference, but what should marketers be looking for in solutions aimed to optimize customer experience? Content produced in association with [24]7.ai With an increasing percentage of the global population online and mobile devices bringing connectivity to evermore contexts, marketers have ample opportunity to reach their target audience. Moreover, the data created by consumers can be captured and processed to fuel sophisticated targeting technologies, creating the possibility of tailoring our message to each individual.

Artificial intelligence (AI) is on the tip of everyone's tongues at the moment. From how AI can help us save money to the rise of sex robots and how they can comfort the elderly and lonely, it's a trend that continues to spark interest across the board. AI is set to significantly change the way we work, live and play. A Deloitte report suggests that although technology has potentially contributed to the loss of circa 800,000 lower-skilled jobs, it has also helped to create nearly 3.5 million new higher-skilled ones in their place. Technology is benefiting businesses and contributing to the UK economy.