Artificial intelligence (AI) is advancing quickly and is being adopted in most industries. Using AI to draft an email message or check your grammar is typically not a cause for concern, but using it to make decisions that affect people's lives is another matter. When constitutional rights are involved, as in the justice system, transparency is paramount. During the Biden-Harris administration, Executive Order 14110 directed agencies to develop guidelines for acceptable uses and regulation of AI. Some of these uses, like summarizing and notetaking, will occur across the government.

This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combines chatbot capabilities and generative AI to offer interactive problem-solving exercises, enhancing learning through a stepby-step approach for varied problems, advocating for the responsible use of AI in education. Our approach emphasizes that immediate answers from ChatGPT can impede real learning. We introduce a reward-based system that requires students to solve mathematical problems effectively to receive the final answer. This encourages a progressive learning path from basic to complex problems, rewarding mastery with final solutions. The goal is to transition students from seeking quick fixes to engaging actively in a comprehensive learning experience.

Generative Artificial Intelligence (generative AI) poses both opportunities and risks for the integrity of research. Universities must guide researchers in using generative AI responsibly, and in navigating a complex regulatory landscape subject to rapid change. By drawing on the experiences of two Australian universities, we propose a framework to help institutions promote and facilitate the responsible use of generative AI. We provide guidance to help distil the diverse regulatory environment into a principles-based position statement. Further, we explain how a position statement can then serve as a foundation for initiatives in training, communications, infrastructure, and process change. Despite the growing body of literature about AI's impact on academic integrity for undergraduate students, there has been comparatively little attention on the impacts of generative AI for research integrity, and the vital role of institutions in helping to address those challenges. This paper underscores the urgency for research institutions to take action in this area and suggests a practical and adaptable framework for so doing.

A group of more than 200 high-profile musicians have signed an open letter calling for protections against the predatory use of artificial intelligence that mimics human artists' likenesses, voices and sound. The signatories span musical genres and eras, ranging from A-list stars such as Billie Eilish, J Balvin and Nicki Minaj to Rock and Roll Hall of Famers like Stevie Wonder and REM. The estates of Frank Sinatra and Bob Marley are also signatories. The letter, which was issued by the Artist Rights Alliance advocacy group, makes the broad demand that technology companies pledge not to develop AI tools that undermine or replace human songwriters and artists. "This assault on human creativity must be stopped. We must protect against the predatory use of AI to steal professional artists' voices and likenesses, violate creators' rights, and destroy the music ecosystem," the letter states.

OpenAI's ChatGPT seems ubiquitous, but open source versions of instruction-tuned text generators are gaining the upper hand. In just 6 months, at least 15 serious alternatives have emerged, all of which have at least one important advantage over ChatGPT: they are a lot more transparent. Insight into training data and algorithms is key for responsible use of generative AI, a team of linguists and language technology researchers at Radboud University claim. The researchers have mapped this rapidly evolving landscape in a paper and a live-updated website. This shows there are many working alternative "open source" text generators, but also that openness comes in degrees and that many models inherit legal restrictions.

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural language communication between humans. Problematically, it is very much a ``statistical correlation machine" (correlation instead of causality) and there are indeed ethical concerns associated with the use of AI language models such as ChatGPT, such as Bias, Privacy, and Abuse. This paper highlights specific ethical concerns on ChatGPT and articulates key challenges when ChatGPT is used in various applications. Practical commandments for different stakeholders of ChatGPT are also proposed that can serve as checklist guidelines for those applying ChatGPT in their applications. These commandment examples are expected to motivate the ethical use of ChatGPT.

The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers? Abstract This study aimed to explore the experiences, perceptions, knowledge, concerns, and intentions of Gen Z students with Gen X and Gen Y teachers regarding the use of generative AI (GenAI) in higher education. A sample of students and teachers were recruited to investigate the above using a survey consisting of both open and closed questions. The findings showed that Gen Z participants were generally optimistic about the potential benefits of GenAI, including enhanced productivity, efficiency, and personalized learning, and expressed intentions to use GenAI for various educational purposes. Gen X and Gen Y teachers acknowledged the potential benefits of GenAI but expressed heightened concerns about overreliance, ethical and pedagogical implications, emphasizing the need for proper guidelines and policies to ensure responsible use of the technology. The study highlighted the importance of combining technology with traditional teaching methods to provide a more effective learning experience. Implications of the findings include the need to develop evidence-based guidelines and policies for GenAI integration, foster critical thinking and digital literacy skills among students, and promote responsible use of GenAI technologies in higher education. Keywords: ChatGPT; Generative AI; AI Literacy; Risks; Advantages; Holistic competencies; Challenges; Benefits 1. Introduction Generation Z (Gen Z) students have largely replaced Millennials in undergraduate programmes, with institutions of higher education now primarily enrolling students from the former (Seemiller & Grace, 2016; Shatto & Erwin, 2016). With educators welcoming a new cohort of students to campus, there is a growing concern regarding how to effectively teach this'always-on' generation; for example, a study by Pearson (2018) showed that almost half of all Gen Z-ers (47%) spend a minimum of three hours daily on YouTube. The Gen Z population, much like its predecessors - the Silent and Baby Boomer generations, followed by Generation X (Gen X) and Generation Y (also known as Millennials) - has its own unique, distinct characteristics that have been shaped by information communication technologies, social and cultural shifts, and financial volatility. As such, it is crucial for higher education institutions to effectively engage with Gen Z, in order for scholars, teachers, and university staff to understand their aforementioned characteristics (Seemiller & Grace, 2017; Shatto & Erwin, 2016; Shorey et al., 2021) and in turn, effectively and ethically integrate generative AI (GenAI) technologies into the curriculum.

NATO wants to strike a deal with China over rules outlining the responsible use of artificial intelligence and other disruptive technologies in the military domain, the alliance's chief Jens Stoltenberg said Tuesday. The organization is pushing to develop shared universal standards for new technologies, following up on an AI strategy agreed among the alliance's members that outlines principles for responsible use. "The next step would be to engage with China, both on these values and principles but also to perhaps agree on some rules of the road for responsible use," Stoltenberg told a NATO conference on arms control and disarmament, by video link. He added that his staff was in regular contact with their counterparts in capitals including Beijing. This could be due to a conflict with your ad-blocking or security software.

With RunwayML, you can create and experiment with generative models in a matter of minutes, without having to write a single line of code" (RunwayML Website). Demand for innovation: Generative AI has opened up new possibilities and opportunities for innovation in various fields and industries. Generative AI can help to generate new ideas, designs, products, services, etc. that can solve problems or meet needs. In manufacturing, Autodesk and Creo use generative AI to design physical objects. In some cases, they also create those objects through 3D printing or computer-controlled machining and additive manufacturing. NVIDIA's set an example through GauGAN, an AI-powered tool that can transform rough sketches into photorealistic images in real-time. "GauGAN represents a major breakthrough in AI-powered image creation, opening up new possibilities for artists, designers, and creatives.

Professor Mrs. Rita Akosua Dickson, Vice-Chancellor of the Kwame Nkrumah University of Science and Technology (KNUST) says it is imperative that Africa takes the investment in Artificial Intelligence (AI) technology and its responsible use seriously. "AI holds much promise and is seen as a game changer in transforming the digital economy. "Therefore, institutions of higher learning in the sub-Region should focus on programmes that are directed at equipping the next generation with the requisite tools to lead the digital revolution," the Vice-Chancellor advised. Mrs. Dickson was addressing a conference dubbed: "Responsible AI and Ethics – A Panacea to Digital Transformation in Sub-Saharan Africa", held at the Great Hall, Kumasi. The programme was held under the auspices of the Responsible Artificial Intelligence Lab (RAIL), KNUST, and the Responsible Artificial Intelligence Network (RAIN) Africa, which seeks to promote the responsible adaptation and use of AI in sub-Saharan Africa.