The rapid development of generative artificial intelligence (AI) technologies raises concerns about the accountability of sociotechnical systems. Current generative AI systems rely on complex mechanisms that make it difficult for even experts to fully trace the reasons behind the outputs. This paper first examines existing research on AI transparency and accountability and argues that transparency is not a sufficient condition for accountability but can contribute to its improvement. We then discuss that if it is not possible to make generative AI transparent, generative AI technology becomes ``artificially created nature'' in a metaphorical sense, and suggest using the precautionary principle approach to consider AI risks. Finally, we propose that a platform for citizen participation is needed to address the risks of generative AI.

Alibaba is giving people free access to its generative artificial intelligence models that can produce highly realistic videos and images from both text and image input. The company has announced that four variants of its Wan 2.1 series, the latest version of its generative AI technology, are now open source and can be downloaded and modified by users. Researchers, academics and commercial entities can all get them from Alibaba Cloud's ModelScope and Hugging Face platforms, both of which give people access to open-source AI models. As Reuters said, the models Alibaba has open sourced are called T2V-1.3B, T2V-14B, I2V-14B-720P and I2V-14B-480P, with the 14B indicating that the model can accept 14 billion parameters.

Kurt Knutsson discusses some tips to keep you safe. The FBI is issuing a warning that criminals are increasingly using generative AI technologies, particularly deepfakes, to exploit unsuspecting individuals. This alert serves as a reminder of the growing sophistication and accessibility of these technologies and the urgent need for vigilance in protecting ourselves from potential scams. Let's explore what deepfakes are, how they're being used by criminals and what steps you can take to safeguard your personal information. Enter the giveaway by signing up for my free newsletter.

Artificial intelligence (AI), like other technologies in the past, will likely affect the economy in many ways, potentially stimulating growth and changing the way people work.11 The effect of AI on work will be multifaceted and will likely vary across occupations and industries.4 The public release of tools such as Dall-E 2, which generates digital images from natural language prompts, in September 2022 and ChatGPT, which generates text responses to natural language prompts, in November 2022 has drawn the attention of the general public to progress in generative AI technologies, stimulating excitement in the potential of these technologies, but also concern over potential negative effects on employment. The expanded scope of uses presented by generative AI technologies has raised questions regarding whether such technologies may affect a broader range of occupations, including those that are highly creative.16 Recent research, including our own9 and work by the Pew Research Center,12 suggests there is a strong positive correlation between exposure to generative AI and median salaries, the required level of education, and the presence of creative abilities within an occupation, and that occupations with a higher percent of female or Asian workers are more exposed, whereas occupations with a higher percent of Black or Hispanic workers are less exposed to generative AI.

Generative AI technologies demand new practical and critical competencies, which call on design to respond to and foster these. We present an exploratory study guided by Research-through-Design, in which we partnered with a primary school to develop a constructionist curriculum centered on students interacting with a generative AI technology. We provide a detailed account of the design of and outputs from the curriculum and learning materials, finding centrally that the reflexive and prolonged `hands-on' approach led to a co-development of students' practical and critical competencies. From the study, we contribute guidance for designing constructionist approaches to generative AI technology education; further arguing to do so with `critical responsivity.' We then discuss how HCI researchers may leverage constructionist strategies in designing interactions with generative AI technologies; and suggest that Research-through-Design can play an important role as a `rapid response methodology' capable of reacting to fast-evolving, disruptive technologies such as generative AI.

The rapid advancement of generative Artificial Intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) models such as ChatGPT, has the potential to significantly impact cybersecurity. In this study, we investigated the impact of GPTs, specifically ChatGPT, on tertiary education in cybersecurity, and provided recommendations for universities to adapt their curricula to meet the evolving needs of the industry. Our research highlighted the importance of understanding the alignment between GPT's ``mental model'' and human cognition, as well as the enhancement of GPT capabilities to human skills based on Bloom's taxonomy. By analyzing current educational practices and the alignment of curricula with industry requirements, we concluded that universities providing practical degrees like cybersecurity should align closely with industry demand and embrace the inevitable generative AI revolution, while applying stringent ethics oversight to safeguard responsible GPT usage. We proposed a set of recommendations focused on updating university curricula, promoting agility within universities, fostering collaboration between academia, industry, and policymakers, and evaluating and assessing educational outcomes.

Generative AI platforms and features are permeating many aspects of work. Entrepreneurs from lean economies in particular are well positioned to outsource tasks to generative AI given limited resources. In this paper, we work to address a growing disparity in use of these technologies by building on a four-year partnership with a local entrepreneurial hub dedicated to equity in tech and entrepreneurship. Together, we co-designed an interactive workshops series aimed to onboard local entrepreneurs to generative AI platforms. Alongside four community-driven and iterative workshops with entrepreneurs across five months, we conducted interviews with 15 local entrepreneurs and community providers. We detail the importance of communal and supportive exposure to generative AI tools for local entrepreneurs, scaffolding actionable use (and supporting non-use), demystifying generative AI technologies by Figure 1: We designed an introductory generative AI workshop emphasizing entrepreneurial power, while simultaneously deconstructing series with entrepreneurs and tech providers which centered the veneer of simplicity to address the many operational communal experience, supportive exposure, tangible skills needed for successful application.

During 2023, the shape of politics to come appeared in a video. In it, Hillary Clinton – the former Democratic party presidential candidate and secretary of state – says: "You know, people might be surprised to hear me saying this, but I actually like Ron DeSantis a lot. I'd say he's just the kind of guy this country needs." It seems odd that Clinton would warmly endorse a Republican presidential hopeful. Further investigations found the video was produced using generative artificial intelligence (AI).

A phone-banking tool powered entirely by artificial intelligence is getting its first real-world test in a Pennsylvania Democrat's congressional campaign. The chatbot, named Ashley, calls voters and engages in two-way, interactive conversations about candidate Shamaine Daniels, one of seven Democrats running so far in next year's primary. The voice tool from the startup Civox represents one of many ways AI technology is breaking into politics ahead of the 2024 campaigns, but experts say its direct contact with voters could threaten data security and has the potential to undermine voter trust. Daniels announced the partnership with Civox on Tuesday, saying the the first-of-its-kind political campaign tool had already completed more than 1,000 calls with likely Democratic primary voters in Pennsylvania's 10th House district, which includes the state capital, Harrisburg. Unlike other robocallers, Ashley doesn't use canned responses or give call recipients a menu of options.

Over the course of two months from its debut in November 2022, ChatGPT exploded in popularity, from niche online curio to 100 million monthly active users -- the fastest user base growth in the history of the Internet. In less than a year, it has earned the backing of Silicon Valley's biggest firms, and been shoehorned into myriad applications from academia and the arts to marketing, medicine, gaming and government. In short ChatGPT is just about everywhere. Few industries have remained untouched by the viral adoption of the generative AI's tools. On the first anniversary of its release, let's take a look back on the year of ChatGPT that brought us here.