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The purpose of this paper is to illuminate the ethical concerns associated with the use of artificial intelligence (AI) in the medical sector and to provide solutions that allow deriving maximum benefits from this technology without compromising ethical principles.

This paper provides a comprehensive overview of AI in medicine, exploring its technical capabilities, practical applications, and ethical implications. Based on our expertise, we offer insights from both technical and practical perspectives.

The study identifies several advantages of AI in medicine, including its ability to improve diagnostic accuracy, enhance surgical outcomes, and optimize healthcare delivery. However, there are pending ethical issues such as algorithmic bias, lack of transparency, data privacy issues, and the potential for AI to deskill healthcare professionals and erode humanistic values in patient care. Therefore, it is important to address these issues as promptly as possible to make sure that we benefit from the AI’s implementation without causing any serious drawbacks.

This paper gains its value from the combined practical experience of Professor Elhassan gained through his practice at top hospitals worldwide, and the theoretical expertise of Dr. Arabi acquired from international institutes. The shared experiences of the authors provide valuable insights that are beneficial for raising awareness and guiding action in addressing the ethical concerns associated with the integration of artificial intelligence in medicine.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

This paper showcases how the PAR embedded in posthumanist perspectives enabled us to navigate several complexities in the field through methodological situatedness and pluralism. It also attempts to critically outline the drivers and barriers that shaped our capacities to engage with the PAR.

The Tamil Nadu state in the Bay of Bengal along the southeast coast of India is one of the six regions in the world where severe tropical cyclones originate throughout the year. Storm surges in this region are well known for their destructive potential due to strong winds and heavy rainfall. This paper describes our participatory action research (PAR) journey towards strengthening grassroots action by providing access to safe and affordable housing for cyclone-impacted households (CIHs) in the Villupuram district of Tamil Nadu, India. The PAR was guided by an adaptive innovation model (AIM) that draws inspiration from posthumanism, action research and reflective practice traditions.

The insights from the PAR insist that we must recognise and work with diverse knowledge systems and situated practices to develop meaningful disaster risk reduction (DRR) and climate adaptation strategies. Our approach has to be rooted in the lived experiences of various vulnerable groups, their entanglements with nature and their everyday struggles of interacting with a complex social-ecological system.

This paper is an outcome of a PAR in a cyclone-impacted village in Tamil Nadu, India. The discussions and findings of the paper are original in nature and have not been published elsewhere.