Current AI approaches to refugee integration optimize narrow objectives such as employment and fail to capture the cultural, emotional, and ethical dimensions critical for long-term success. We introduce EMPATHIA (Enriched Multimodal Pathways for Agentic Thinking in Humanitarian Immigrant Assistance), a multi-agent framework addressing the central Creative AI question: how do we preserve human dignity when machines participate in life-altering decisions? Grounded in Kegan's Constructive Developmental Theory, EMPATHIA decomposes integration into three modules: SEED (Socio-cultural Entry and Embedding Decision) for initial placement, RISE (Rapid Integration and Self-sufficiency Engine) for early independence, and THRIVE (Transcultural Harmony and Resilience through Integrated Values and Engagement) for sustained outcomes. SEED employs a selector-validator architecture with three specialized agents - emotional, cultural, and ethical - that deliberate transparently to produce interpretable recommendations. Experiments on the UN Kakuma dataset (15,026 individuals, 7,960 eligible adults 15+ per ILO/UNHCR standards) and implementation on 6,359 working-age refugees (15+) with 150+ socioeconomic variables achieved 87.4% validation convergence and explainable assessments across five host countries. EMPATHIA's weighted integration of cultural, emotional, and ethical factors balances competing value systems while supporting practitioner-AI collaboration. By augmenting rather than replacing human expertise, EMPATHIA provides a generalizable framework for AI-driven allocation tasks where multiple values must be reconciled.

Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description. These models have begun to rival the work of professional creatives, and sparked discussions on the future of creative work, loss of jobs, and copyright issues, amongst other important implications. To support the sustainable adoption of TTIG, we must provide rich, reliable and transparent insights into how professionals perceive, adopt and use TTIG. Crucially though, the public debate is shallow, narrow and lacking transparency, while academic work has focused on studying the use of TTIG in a general artist population, but not on the perceptions and attitudes of professionals in a specific industry. In this paper, we contribute a qualitative, exploratory interview study on TTIG in the Finnish videogame industry. Through a Template Analysis on semi-structured interviews with 14 game professionals, we reveal 12 overarching themes, structured into 49 sub-themes on professionals' perception, adoption and use of TTIG systems in games industry practice. Experiencing (yet another) change of roles and creative processes, our participants' reflections can inform discussions within the industry, be used by policymakers to inform urgently needed legislation, and support researchers in games, HCI and AI to support the sustainable, professional use of TTIG to benefit people and games as cultural artefacts.

As far back as the 19th century, soothsayers have been promising and warning against it in equal measure. While we have yet to achieve a post-scarcity utopia or descend into a robot-ruled wasteland, year upon year, little by little, many of those predictions have jumped from the pages of sci-fi novels and into news headlines as ever-increasing computing power turns future fantasies into tangible reality. From law enforcement to medicine and visual arts to weaponry, the real-world impacts of AI are already being felt. Tech's best and brightest are hard at work trying to streamline the songwriting process or replace it altogether: Splice's Similar Sounds uses AI to scan thousands of samples before offering the best kick to complement your snare; Orb's Producer Suite generates rhythms, melodies and chord progressions to help you get started on a track; and services like Amper need only a few keywords to create fully realised background music. So, are composers and songwriters staring into the void of their own obsolescence?

A handful of important trends will transform the software developer experience in 2023, as enterprises consider more self-hosting, observe more SaaS consolidations and see an upswing of interest in creative AI. Also, as AI enters the creativity realm, it threatens to upend the future of app dev. And OpenAI's Chat GPT, released in November, takes code completion beyond line suggestions -- in addition to writing complete web pages and simple applications, it can generate new programming languages. For developers, the 2022 job market started strong, but by December, they saw storm clouds as layoffs hit the tech sector. Experts felt vibes of the early 2000s recession and the pandemic's early days.

The more we looked, the more creative artificial intelligence (AI) was automating our work. Media copy at the push of a button, 2000-word essays written in seconds. Training videos fronted by metahumans, instantly translated into multiple languages; unique, bespoke illustrations, photographs and sketches all generated from the'mind' of a machine. From photography to contemporary art, machines have disrupted the creative industries for many years. Creative AI will sadly have an impact on many creatives' careers (especially illustrators'), but we shouldn't fear the machines.

As artificial intelligence (AI) continues its march toward becoming the backbone of digital transformation, it's creating a new class of entrepreneurs. This new class is being empowered by the ability to use AI to generate ideas for and launch new businesses, and it's quickly changing the landscape of business innovation. According to a new report from Boston Consulting Group (BCG), AI is unleashing a new wave of entrepreneurs who are using it to generate new business ideas, create and launch new products and services, and build new businesses. So, I didn't write the above paragraph--the Generative Pre-trained Transformer 3 (GPT-3) model did. The AI so advanced that it even cited a credible source to support its argument.

Creative artificial intelligence is the latest and, in some ways, most surprising and exhilarating art form in the world. It also isn't fully formed yet. That tension is causing some confusion. If you're familiar at all with the use of creative artificial intelligence, you probably know it through one of the popular text-to-image AI applications, which use sprawling databases of existing imagery to convert a written prompt into a new picture. DALL-E 2 from OpenAI is the best known, but more recent and arguably cooler applications include Midjourney and Stable Diffusion.

In 1896, the Lumiere brothers released a 50-second-long film, The Arrival of a Train at La Ciotat, and a myth was born. The audiences, it was reported, were so entranced by the new illusion that they jumped out of the way as the flickering image steamed towards them. The urban legend of film-induced mass panic, established well before 1900, illustrated a valid contention if the story was, in fact, untrue: The technology had produced a new emotional reaction. That reaction was hugely powerful but inchoate and inarticulate. Nobody knew what it was doing or where it would go. Nobody had any idea that it would turn into what we call film. Today, the world is in a similar state of bountiful confusion over the creative use of artificial intelligence. Already the power of the new technology is evident to everyone who has managed to use it.

Machine-learning algorithms aren't likely to put painters or singer-songwriters out of work anytime soon, to judge from their body of work to date. But Google Brain is developing tools that pair artists with deep-learning tools to develop novel artwork together, said Douglas Eck, senior staff scientist at the search giant's artificial-intelligence research division, during the MIT Technology Review's EmTech Digital conference on Tuesday. He hopes the platform, called Magenta, will allow people to produce completely new kinds of music and art, in much the way that keyboards, drum machines, and cameras did. Eck said that Magenta could serve a role analogous to that of Les Paul, who helped develop the modern electric guitar. But Eck said they want to keep artists in the loop to push the boundaries of the new tool in interesting ways, like a Jimi Hendrix who flips it upside down, bends the strings, and distorts the sound.

How close is the relationship between AI technology and video game development? From the exploratory adventure of open-world games to the comforting loop of online slots, the majority of video games use AI in some way, shape, or form; be it NPC interaction, enemy behavior, or otherwise. Contrary to its portrayal in most forms of entertainment media, AI isn't restricted to robots and supercomputers. Instead, it's a relatively ubiquitous technology, especially when it comes to gaming. As a matter of fact, you could go as far as saying that AI and video games likely wouldn't exist without each other.