The second workshop on Child-Centred AI design (CCAI)

AI-powered solutions are increasingly woven into the fabric of children’s digital worlds. They’re found in interactive toys, home automation systems, everyday apps, and various online services that young users engage with. As we look ahead, it’s almost certain that the prevalence of AI in tools and platforms designed for kids will grow, given AI’s ability to offer rich, tailored, and dynamic experiences. However, the nuances of how these AI-centric platforms cater to children and how they can be optimized to meet the unique needs of younger users remain largely underexplored. Building on the momentum from our inaugural CCAI workshop at CHI 2023, our aspirations for this year’s workshop include: (1) deepening the discourse on the essence of AI that prioritizes children, (2) focusing on actionable strategies to operationalise child-centered AI design principles into practice, and (3) cultivating an ever-growing collective of professionals passionate about the future of child-focused AI innovations

Responsible domestic robotics:Exploring ethical implications of robots in the home

Purpose: The vision of robotics in the home promises increased convenience, comfort, companionship, and greater security for users. The robot industry risks causing harm to users, being rejected by society at large, or being regulated in overly prescriptive ways if robots are not developed in a socially responsible manner. The purpose of this paper is to explore some of the challenges and requirements for designing responsible domestic robots.Design/methodology/approach: The paper examines definitions of robotics and the current commercial state of the art. In particular it considers the emerging technological trends, such as smart homes, that are already embedding computational agents in the fabric of everyday life. The paper then explores the role of values in design, aligning with human computer interaction and considers the importance of the home as a deployment setting for robots. The paper examines what responsibility in robotics means and draws lessons from past home information technologies. An exploratory pilot survey was conducted to understand user concerns about different aspects of domestic robots such as form, privacy and trust. The paper provides these findings, married with literature analysis from across technology law, computer ethics and computer science.Findings: By drawing together both empirical observations and conceptual analysis, this paper concludes that user centric design is needed to create responsible domestic robotics in the future.Originality/value: This multidisciplinary paper provides conceptual and empirical research from different domains to unpack the challenges of designing responsible domestic robotics

White Noise from the White Goods? Conceptual & Empirical Perspectives on Ambient Domestic Computing

Within this chapter we consider the emergence of ambient domestic computing systems, both conceptually and empirically. We critically assess visions of post-desktop computing, paying particular attention to one contemporary trend: the internet of things (IoT). We examine the contested nature of this term, looking at the historical trajectory of similar technologies, and the regulatory issues they can pose, particularly in the home. We also look to the emerging regulatory solution of privacy by design, unpacking practical challenges it faces. The novelty of our contribution stems from a turn to practice through a set of empirical perspectives. We present findings that document the practical experiences and viewpoints of 13 leading experts in technology law and design

Diseño e implementación de una interfaz háptica basada en IoT implementada por algoritmos meméticos para mejorar la competitividad en un modelo de industria 4.0 para el sector manufacturero

En la industria manufacturera, se da prioridad a los modelos de calidad en el producto, para que las empresas sean competitivas, por eso se ha propuesto implementar interfaces hápticas capaces de detectar anomalías en la operación de los equipos electrónicos de las empresas. Automóviles en el sector de fabricación, es por eso que a través de la implementación de Inteligencia Artificial y Modelos de Manufactura Inteligentes, podemos llegar a construir sistemas inteligentes para la correcta toma de decisiones en el sector de autopartes en México. La fabricación inteligente es un subconjunto que emplea diversas técnicas de inteligencia artificial y tecnologías emergentes, junto con el control por computadora y altos niveles de adaptabilidad para adaptarse a los cambios en la mejora del producto. La fabricación inteligente se centra en aprovechar las tecnologías de información avanzadas e incluso el análisis inteligente de los datos y la fabricación a través de Internet de las cosas para permitir flexibilidad en los procesos físicos para abordar un mercado dinámico en cada sociedad y desde una perspectiva global. Hay más capacitación relacionada con la implementación de inteligencia artificial de la fuerza laboral para tal flexibilidad de adaptabilidad de productos y uso de tecnología emergente en lugar de tareas específicas como es habitual en la fabricación tradicional, y que requiere un grupo más grande de individuos para ello.In the manufacturing industry, priority is given to quality models in the product, in order to make companies competitive, that is why it has been proposed to implement haptic interfaces capable of detecting anomalies in the operation of the electronic equipment of the companies. Cars in the manufacturing sector, that is why through the implementation of Artificial Intelligence and Smart Manufacturing Models, we can get to build intelligent systems for the correct decision making in the auto parts sector in Mexico. Intelligent manufacturing is a subset that employs various techniques of artificial intelligence and emerging technologies coupled with computer control and high levels of adaptability to adapt to changes in product improvement. Intelligent manufacturing is focused on taking advantage of advanced information technologies and even intelligent analysis of data and manufacturing via the Internet of things to allow flexibility in physical processes to address a dynamic market in each society and from a global perspective. There is more training related to the implementation of artificial intelligence of the workforce for such flexibility of adaptability of products and use of emerging technology instead of specific tasks as is usual in traditional manufacturing, and which requires a larger group of individuals for it.Koch