In the era of AI-driven language technologies, there is a growing demand for the participation and leadership of deaf communities in sign language technology development, often framed as co-creation. This paper, developed through collaborative and iterative dialogue between the authors with data from informal participant observations, examines the involvement of the European Union of the Deaf in two EU Horizon 2020 projects, EASIER and SignON. These projects aimed to develop mobile translation applications between signed and spoken languages, bringing together predominantly hearing, non-signing technology experts with predominantly hearing sign language academics and organizations representing deaf end users in large multi-partner consortia. While co-creation is sometimes presented as the best or required way to do research or even as emancipatory, it frequently masks systemic issues of power imbalances and tokenism. Drawing from EUD's experiences of these projects, we highlight several inconvenient truths of co-creation, and propose seven lessons for future initiatives: recognizing deaf partners' invisible labour as work, managing expectations about technologies, cripping co-creation processes, exploring alternative methods to mitigate co-creation fatigue, seeking intersectional feedback, ensuring co-creation is not just virtue signalling, and fostering deaf leadership in AI sign language research. We argue for co-creation as a transformative activity that fundamentally alters the status quo and levels the playing field. This necessitates increasing the number of deaf researchers and enhancing AI literacy among deaf communities. Without these critical transformative actions, co-creation risks merely paying lip service to deaf communities.

In this study, we introduce "CosmoAgent," an innovative artificial intelligence framework utilizing Large Language Models (LLMs) to simulate complex interactions between human and extraterrestrial civilizations, with a special emphasis on Stephen Hawking's cautionary advice about not sending radio signals haphazardly into the universe. The goal is to assess the feasibility of peaceful coexistence while considering potential risks that could threaten well-intentioned civilizations. Employing mathematical models and state transition matrices, our approach quantitatively evaluates the development trajectories of civilizations, offering insights into future decision-making at critical points of growth and saturation. Furthermore, the paper acknowledges the vast diversity in potential living conditions across the universe, which could foster unique cosmologies, ethical codes, and worldviews among various civilizations. Recognizing the Earth-centric bias inherent in current LLM designs, we propose the novel concept of using LLMs with diverse ethical paradigms and simulating interactions between entities with distinct moral principles. This innovative research provides a new way to understand complex inter-civilizational dynamics, expanding our perspective while pioneering novel strategies for conflict resolution, crucial for preventing interstellar conflicts. We have also released the code and datasets to enable further academic investigation into this interesting area of research.

Technology development has come a long way in recent years, with new and innovative products and services being released at a rapid pace. The advances in technology have had a significant impact on society, transforming the way we communicate, work, and live our lives. One of the most significant areas of technology development is in the field of artificial intelligence (AI). AI has the potential to revolutionize many industries, from healthcare to transportation, by automating tasks and making them more efficient. There have been significant advances in natural language processing, machine learning, and robotics, which have led to the development of AI systems that can perform a wide range of tasks, from diagnosing diseases to driving cars.

Te reo M\=aori (referred to as M\=aori), New Zealand's indigenous language, is under-resourced in language technology. M\=aori speakers are bilingual, where M\=aori is code-switched with English. Unfortunately, there are minimal resources available for M\=aori language technology, language detection and code-switch detection between M\=aori-English pair. Both English and M\=aori use Roman-derived orthography making rule-based systems for detecting language and code-switching restrictive. Most M\=aori language detection is done manually by language experts. This research builds a M\=aori-English bilingual database of 66,016,807 words with word-level language annotation. The New Zealand Parliament Hansard debates reports were used to build the database. The language labels are assigned using language-specific rules and expert manual annotations. Words with the same spelling, but different meanings, exist for M\=aori and English. These words could not be categorised as M\=aori or English based on word-level language rules. Hence, manual annotations were necessary. An analysis reporting the various aspects of the database such as metadata, year-wise analysis, frequently occurring words, sentence length and N-grams is also reported. The database developed here is a valuable tool for future language and speech technology development for Aotearoa New Zealand. The methodology followed to label the database can also be followed by other low-resourced language pairs.

Researchers from the University of Toronto and University of Cambridge are looking into the ways ageism – prejudice against individuals based on age – can be encoded into technologies such as artificial intelligence, which many of us now encounter daily. This age-related bias in AI, also referred to as "digital ageism," is explored in a new paper led by Charlene Chu, an affiliate scientist at the Toronto Rehabilitation Institute's KITE research arm, part of the University Health Network (UHN), and an assistant professor at the Lawrence S. Bloomberg Faculty of Nursing. The paper was recently published in The Gerontologist, the leading journal of gerontology. "The COVID-19 pandemic has heightened our awareness of how dependent our society is on technology," says Chu says. "Huge numbers of older adults are turning to technology in their daily lives which has created a sense of urgency for researchers to try to understand digital ageism, and the risks and harms associated with AI biases."

As part of Australia's Artificial Intelligence (AI) Action Plan, the Australian Government is investing $53.8 million over four years to establish the National AI Centre and four AI and Digital Capability Centres to lay the foundations for an Australian AI and digital ecosystem. As the national science agency, and housing some of the country's leading capability in AI research and technology development, we're well positioned to act as lead in establishing the National AI Centre. We're bringing together partners from government, industry and the research sector to boost exploration and adoption of AI in Australia. We are uniquely positioned to represent the interests and capability of Australia's AI sector internationally, and to grow awareness of our AI capacity with global leaders in the field. By partnering with like-minded organisations, we aim to drive a new level of understanding, technology development, and adoption of AI in Australia in the years to come.

Artificial Intelligence Speeds Up The Planet's Financial System Both the financial crisis of 2008 and the COVID-19 pandemic stressed the financial markets. They resulted in uncertainties, market declines, and negative economic growth. Yet the financial market recovered much faster after the COVID-19 outbreak than the 2008 crisis. The main differences in recovery speeds between the two crises are the timing of the Fed's support, fintech innovations, and technology developments on trading and on general productivity. These factors change the data flow, market dynamics, and recovery speed.

It looks like no-code and low-code tools are here to stay. Today, Gartner released new predictions about technology products and services, specifically who will build them and the impact of AI and the pandemic. The research firm found that by 2024, 80% of tech products and services will be built by people who are not technology professionals. Gartner also expects to see more high-profile announcements of technology launches from nontech companies over the next year. "The barrier to become a technology producer is falling due to low-code and no-code development tools," Gartner VP Rajesh Kandaswamy told VentureBeat.

A substantial digital revolution is taking place all over the world. Innovation, agility, and market development are all accelerated by technological advancements. The Covid-19 pandemic accelerated digitization and automation, allowing companies to remain resilient even in adversity. Many businesses adopted disruptive technologies and modified their business models. The pandemic's effect will be felt for a long time, and the digital transition will continue.

Artificial intelligence is a "world-altering" technology that represents "the most powerful tools in generations for expanding knowledge, increasing prosperity and enriching the human experience" and will be a source of enormous power for the companies and countries that harness them, according to the recently released Final Report of the National Security Commission on Artificial Intelligence. This is not hyperbole or a fantastical version of AI's potential impact. This is the assessment of a group of leading technologists and national security professionals charged with offering recommendations to Congress on how to ensure American leadership in AI for national security and defense. Concerningly, the group concluded that the U.S. is not currently prepared to defend American interests or compete in the era of AI. The NSCAI was chartered by Congress in August 2018 to review AI and related technologies and make recommendations to address U.S. national security and defense needs.