Patent data have been utilized for engineering design research for long because it contains massive amount of design information. Recent advances in artificial intelligence and data science present unprecedented opportunities to mine, analyse and make sense of patent data to develop design theory and methodology. Herein, we survey the patent-for-design literature by their contributions to design theories, methods, tools, and strategies, as well as different forms of patent data and various methods. Our review sheds light on promising future research directions for the field.

The exponential development and application of artificial intelligence triggered an unprecedented global concern for potential social and ethical issues. Stakeholders from different industries, international foundations, governmental organisations and standards institutions quickly improvised and created various codes of ethics attempting to regulate AI. A major concern is the large homogeneity and presumed consensualism around these principles. While it is true that some ethical doctrines, such as the famous Kantian deontology, aspire to universalism, they are however not universal in practice. In fact, ethical pluralism is more about differences in which relevant questions to ask rather than different answers to a common question. When people abide by different moral doctrines, they tend to disagree on the very approach to an issue. Even when people from different cultures happen to agree on a set of common principles, it does not necessarily mean that they share the same understanding of these concepts and what they entail. In order to better understand the philosophical roots and cultural context underlying ethical principles in AI, we propose to analyse and compare the ethical principles endorsed by the Chinese National New Generation Artificial Intelligence Governance Professional Committee (CNNGAIGPC) and those elaborated by the European High-level Expert Group on AI (HLEGAI). China and the EU have very different political systems and diverge in their cultural heritages. In our analysis, we wish to highlight that principles that seem similar a priori may actually have different meanings, derived from different approaches and reflect distinct goals.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. UNESCO is committed to supporting Member States to harness the potential of AI technologies for achieving the Education 2030 Agenda, while ensuring that the application of AI in educational contexts is guided by the core principles of inclusion and equity. UNESCO's mandate calls inherently for a human-centred approach to AI. It aims to shift the conversation to include AI's role in addressing current inequalities regarding access to knowledge, research and the diversity of cultural expressions and to ensure AI does not widen the technological divides within and between countries.

Inherently, the legal domain contains a vast amount of data in text format. Therefore it requires the application of Natural Language Processing (NLP) to cater to the analytically demanding needs of the domain. The advancement of NLP is spreading through various domains, such as the legal domain, in forms of practical applications and academic research. Identifying critical sentences, facts and arguments in a legal case is a tedious task for legal professionals. In this research we explore the usage of sentence embeddings for multi-class classification to identify critical sentences in a legal case, in the perspective of the main parties present in the case. In addition, a task-specific loss function is defined in order to improve the accuracy restricted by the straightforward use of categorical cross entropy loss.

The legal industry has been undergoing a technological revolution in the past decade, and few technologies have been having a more significant impact than artificial intelligence. Lawyers everywhere are curious to know how artificial intelligence will affect the practice of law. Nick Whitehouse, GM of the Onit AI Center of Excellence, recently sat down with Jared Correia, host of Above the Law's Non-Eventcast podcast (available on Apple and Spotify), to discuss how AI impacts the legal world. Spoiler alert: it's not Terminator time just yet. The conversation started with an icebreaker about the latest Pixar movie, Lightyear, which proved to be an ideal segue into the topic of AI.

The European Union's plan to regulate artificial intelligence is ill-equipped to protect people from flawed algorithms that deprive them of lifesaving benefits and discriminate against vulnerable populations, Human Rights Watch said in report on the regulation. The European Parliament should amend the regulation to better protect people's rights to social security and an adequate standard of living. The 28-page report in the form of a question-and-answer document, "How the EU's Flawed Artificial Intelligence Regulation Endangers the Social Safety Net," examines how governments are turning to algorithms to allocate social security support and prevent benefits fraud. Drawing on case studies in Ireland, France, the Netherlands, Austria, Poland, and the United Kingdom, Human Rights Watch found that this trend toward automation can discriminate against people who need social security support, compromise their privacy, and make it harder for them to qualify for government assistance. But the regulation will do little to prevent or rectify these harms.

Let the AI auditing vendor brigade begin. A year since it was introduced, New York City Council passed a bill earlier this week requiring companies that sell AI technologies for hiring to obtain audits assessing the potential of those products to discriminate against job candidates. The bill requiring "bias audits" passed with overwhelming support in a 38-4 vote. The bill is intended to weed out the use of tools that enable already unlawful employment discrimination in New York City. If signed into law, it will require providers of automated employment decision tools to have those systems evaluated each year by an audit service and provide the results to companies using those systems.

The researchers believe these types of measurements could play an important part in an environmental robotic sensor in the future. Responsiveness to pH can detect freshwater acidification, which is a serious environmental problem affecting several geologically-sensitive regions. The ability to soak up oils makes such long-distance skimming robots an ideal candidate for early detection of oil spills. Changing colors due to temperatures could help spot signs of red tide and the bleaching of coral reefs, which leads to decline in the population of aquatic life.

After a year of pandemic-related worry and isolation, increased workloads, and little to no time off, employee burnout continues to grow with as many as three out of four workers experiencing burnout on the job. Not only this, but employers and employees are increasingly misaligned on vital issues such as job training, scheduling flexibility and salaries, which ultimately affects both employee experience and heightens employee's perceptions of the workplace. The toll that high levels of stress can take on an individual proves detrimental to not only their health and wellbeing but also affects the overall operations of an organisation. This can lead to lower levels of productivity, increased injuries on the job as well as overall lower job satisfaction. As a result, individuals are resigning in search of a better work-life balance and more flexibility, in what has been dubbed the'Great Resignation'.

The European Union’s plan to regulate artificial intelligence is ill-equipped to protect people from flawed algorithms that deprive them of lifesaving benefits and discriminate against vulnerable populations, Human Rights Watch said in report on the regulation released today. The European Parliament should amend the regulation to better protect people’s rights to social security and an adequate standard of living.