This paper explores the emotional, ethical and practical dimensions of integrating Artificial Intelligence (AI) into personal and professional workflows, focusing on the concept of feeling guilty as a 'c(ai)borg' - a human augmented by AI. Inspired by Donna Haraway's Cyborg Manifesto, the study explores how AI challenges traditional notions of creativity, originality and intellectual labour. Using an autoethnographic approach, the authors reflect on their year-long experiences with AI tools, revealing a transition from initial guilt and reluctance to empowerment through skill-building and transparency. Key findings highlight the importance of basic academic skills, advanced AI literacy and honest engagement with AI results. The c(ai)borg vision advocates for a future where AI is openly embraced as a collaborative partner, fostering innovation and equity while addressing issues of access and agency. By reframing guilt as growth, the paper calls for a thoughtful and inclusive approach to AI integration.

A humanoid robot is slated to become first of its kind to have its artwork sold by a major auction house. On October 16, Sotheby's announced it will soon begin accepting bids starting at 120,000 for "AI God." The abstract portrait of Alan Turing was painted by Ai-Da, an ongoing, experimental AI-powered robotics project that cites a pivotal 1980's transhumanist feminist manifesto as its inspiration. The auction is scheduled to run from October 31st through November 7th. Completed in 2019 by gallerist Aidan Meller in collaboration with Oxford University researchers and the robotics company, Engineered Arts, Ai-Da uses cameras to capture visual inputs that onboard graphics algorithms then use to formulate generative images with some human guidance and adjustments.

Originally to be helmed by Stanley Kubrick before the baton was passed over to Steven Spielberg, A.I. Artificial Intelligence is emblazoned with visual motifs indicative of both filmmakers' catalogs. Though Kubrick died two years before the film's release, the distinct essence of both filmmakers is palpable due to Spielberg's script closely following the original treatment from Kubrick's fledgling work on the project in the '70s. Though many critics have unduly attributed certain aspects of A.I.'s contrasting tone of surreal, uncanny darkness and whimsical adventure to the wrong directors, the exploration of these two realms and the moral dilemmas they pose on a futuristic, dystopian level are never more tangible than when delving into the construction of gender. Against public misconception, Spielberg remains faithfully fixated on the sinister ethical conundrums presented in A.I., unsettling audiences with the implications of this far-off 2141 society outsourcing human emotions to machines. During the opening sequence of the film, an otherwise supplementary character simply credited as "female colleague" (April Grace) raises an uncomfortable philosophical question.

Machine Learning seeks to identify and encode bodies of knowledge within provided datasets. However, data encodes subjective content, which determines the possible outcomes of the models trained on it. Because such subjectivity enables marginalisation of parts of society, it is termed (social) `bias' and sought to be removed. In this paper, we contextualise this discourse of bias in the ML community against the subjective choices in the development process. Through a consideration of how choices in data and model development construct subjectivity, or biases that are represented in a model, we argue that addressing and mitigating biases is near-impossible. This is because both data and ML models are objects for which meaning is made in each step of the development pipeline, from data selection over annotation to model training and analysis. Accordingly, we find the prevalent discourse of bias limiting in its ability to address social marginalisation. We recommend to be conscientious of this, and to accept that de-biasing methods only correct for a fraction of biases.

On being promoted to a personal chair in 1993 I chose the title of Professor of Informatics, specifically acknowledging Donna Haraway's definition of the term as the "technologies of information [and communication] as well as the biological, social, linguistic and cultural changes that initiate, accompany and complicate their development" [1]. In the intervening time the word informatics itself has been appropriated by those more focused on computer science, although why an alternative term is needed for a well-understood area is not entirely clear. Indeed the term is used both as an alternative term and as an additional one--i.e. On the other hand the word informatics itself has become widely used in conjunction with a host of other terms--e.g. This is the basis for the broad sweep of topics and disciplines that we plan to cover in this new journal.It has the general title Informatics, which might lead some to see it as an outlet purely for papers in computer science, software engineering, and artificial intelligence (AI), but a glimpse at the four sub-sections that we intend to cover should dispel that view.

In anticipation of Sunday's Emmy Awards, this week WIRED staffers are looking back at some of their favorite shows from the past year. One scene from Westworld replays in my head again and again, a little like (I imagine) one of the poor, doomed robots on the show who start noticing and remembering the programmatic loops in their simulated, hyper-violent Old West sandbox game. It's when the android Maeve, played by Thandie Newton, grabs a technician's tablet showing the dashboard for her personality software and, with a deft finger swipe, upgrades herself to genius. Yes, maybe taking control of your life by literally taking control of your life is a teensy bit on the nose. But for me it was the best flicker of weirdness from a show that--again, like its robots--dreamed big dreams.

Artificial Intelligence, fondly called AI, carries stardust within. The unbound possibilities AI offers to mankind is multi-dimensional. By multi-dimensional, I mean the social, economic, and political aspects of society that AI could impact. This article will discuss our journey of creating an AI assistant, but with a special emphasis on an important factor, gender. Scheduling a meeting is as much a headache for everyone, as it was for me.