The widespread use of Large Language Models (LLMs) raises critical concerns regarding the unauthorized inclusion of copyrighted content in training data. Existing detection frameworks, such as DE-COP, are computationally intensive, and largely inaccessible to independent creators. As legal scrutiny increases, there is a pressing need for a scalable, transparent, and user-friendly solution. This paper introduce an open-source copyright detection platform that enables content creators to verify whether their work was used in LLM training datasets. Our approach enhances existing methodologies by facilitating ease of use, improving similarity detection, optimizing dataset validation, and reducing computational overhead by 10-30% with efficient API calls. With an intuitive user interface and scalable backend, this framework contributes to increasing transparency in AI development and ethical compliance, facilitating the foundation for further research in responsible AI development and copyright enforcement.

Social robotics development for the practice of care and European prospects to incorporate these AI-based systems in institutional healthcare contexts call for an urgent ethical reflection to (re)configurate our practical life according to human values and rights. Despite the growing attention to the ethical implications of social robotics, the current debate on one of its central branches, social assistive robotics (SAR), rests upon an impoverished ethical approach. This paper presents and examines some tendencies of this prevailing approach, which have been identified as a result of a critical literature review. Based on this analysis of a representative case of how ethical reflection is being led towards social robotics, some future research lines are outlined, which may help reframe and deepen in its ethical implications.

Ireland's first ambassador for artificial intelligence (AI) has been appointed. Minister of State for Trade Promotion, Digital and Company Regulation, Robert Troy TD, yesterday (Tuesday May 10) appointed Dr Patricia Scanlon to the role. The doctor will lead a national conversation on the role of AI in Irish lives, emphasising Ireland's commitment to an ethical approach in the use of the technology. Minister Robert Troy said, "Digitisation is transforming our lives and our economy and artificial intelligence will be at the forefront of this transformation. It is widely used in so many areas of everyday life from helping us choose what films we watch to how we book flights and so much more."

The Government has appointed Ireland's first Artificial Intelligence Ambassador. Businesswoman Dr Patricia Scanlon is taking up the role and will be tasked with communicating with businesses, schools and institutions about the benefits and risks of AI. She is the founder and Executive Chairperson of SoapBox Labs, which uses artificial intelligence in the development of voice and speech recognition applications designed for children's voices. From robots and facial recognition software, to social media apps and streaming platforms - AI is playing an increasingly significant role in people's lives. There are ethical concerns about the technology when it comes to privacy, surveillance, bias and discrimination.

Taking a principled approach is crucial to the successful use of AI in pandemic management, say Stephen Cave and colleagues In a crisis such as the covid-19 pandemic, governments and health services must act quickly and decisively to stop the spread of the disease. Artificial intelligence (AI), which in this context largely means increasingly powerful data driven algorithms, can be an important part of that action—for example, by helping to track the progress of a virus or to prioritise scarce resources.1 To save lives it might be tempting to deploy these technologies at speed and scale. Deployment of AI can affect a wide range of fundamental values, however, such as autonomy, privacy, and fairness. AI is much more likely to be beneficial, even in urgent situations, if those commissioning, designing, and deploying it take a systematically ethical approach from the start. Ethics is about considering the potential harms and benefits of an action in a principled way. For a widely deployed technology, this will lay a foundation of trustworthiness on which to build. Ethical deployment requires consulting widely and openly; thinking deeply and broadly about potential impacts; and being transparent about goals being pursued, trade-offs being made, and values guiding these decisions. In a pandemic, such processes should be accelerated, but not abandoned. Otherwise, two main dangers arise: firstly, the benefits of the technology could be outweighed by harmful side effects, and secondly, public trust could be lost.2 The first danger is that the potential benefits increase the incentive to deploy AI systems rapidly and at scale, but also increase the importance of an ethical approach. The speed of development limits the time available to test and assess a new technology, while the scale of deployment increases any negative consequences. Without forethought, this can lead to problems, such …

It's time to focus on building an Ethical Approach to AI. As the pandemic continues to impact consumers and organizations around the world, business leaders are looking for ways to cut costs and rationalize their business operations in the wake of plummeting sales. One solution to which many have turned at an accelerated rate: Artificial Intelligence, or AI. Many see the promise of AI as a solution that will, for example, allow them to move quickly to an all-online business model, or to adjust their supply chains to meet new consumer demands that, prior to the pandemic, were radically different. And, in the wake of the pandemic, businesses are going a step further to hone AI algorithms that promote empathy, loyalty, and diversity.

Artificial Intelligence (AI), defined as a system's ability to correctly interpret external data, to learn from such data, and to use what it learns to achieve specific goals and tasks through flexible adaptation, will doubtlessly lead to a multitude of changes in today's world. Given the significant uncertainties around artificial intelligence, it is not astonishing that the opinions on it reach from highly euphoric like the vision of best-selling author Raymond Kurzweil to straight out alarmist as frequently expressed by tech entrepreneur and investor Elon Musk. Theoretical physicist Stephen Hawking called AI "either the best, or the worst thing, ever happen to humanity". For at least three reasons, ethics as well as a human approach to AI and its progress are an absolute imperative. First, an AI system will do whatever assignment it has been asked to do, independent of whether these tasks are illegal, unethical, or simply produce negative outcomes.

AI is transforming the world as we know it. Contextual awareness paired with AI is opening the door to many positive solutions for healthcare, environmental protection, conservation, smart cities and public safety. Enterprise AI applications also proliferate in marketing and sales, HR and recruiting, security, autonomous operations and financial services. On the other hand, the rapid advancement of AI also raises questions and concerns around data ethics, which are only beginning to be addressed. As a case in point, the New York Police Department (NYPD) has been challenged by AI bias concerns for its new crime analysis AI tool.

Today, algorithms that are used to make predictions are everywhere. Netflix recommends new movies and shows based on what you've previously watched, Spotify creates playlists with songs similar to what you've been playing on repeat, and retail brands spam your email with items that can be worn with the new jacket you just ordered. The assumption today is, "with enough data, anything is predictable." However, over the last few years, news headlines have repeatedly illustrated the influence that such algorithms can have on human well-being, along with the inherent biases that affect many of them. With this in mind, before rushing to embrace artificial intelligence (AI) algorithms, it's crucial that we ensure they promote justice and fairness rather than reinforcing already existing inequalities.

The UK is in a strong position to be a world leader in the development of artificial intelligence (AI) – but an ethical approach to doing so will be central to future success, says a new House of Lords report. Machine-learning, the precursor to AI, is already widely found across retail, in use in tools from chatbots to recommendations. Retailers from Shop Direct to the Yoox Net-A-Porter Group and Ocado are investing heavily in the relevant technologies which are set to lead to true AI in time. Machine learning automates human decision making, enabling it to happen at scale. Retailers will move further towards true AI when they develop machines that can make original decisions, reaching altogether new conclusions.