artificial intelligence

On the internet, professional women are represented as younger—and therefore less experienced—than their male counterparts, even though this age difference does not correspond to actual data in the US, according to an article published in Nature. This study of gender and age stereotypes is based on an analysis of 1.4 million images on five platforms (Google, Wikipedia, IMDb, Flickr and YouTube), as well as nine large language models, such as ChatGPT, trained with texts from Reddit, Google News, Wikipedia and Twitter. 

The temporary employment rate for teaching staff in Spain is 31%, above the OECD average of 19% and the EU average of 17%. This is one of the results of the latest edition of TALIS, the Teaching and Learning International Study, promoted by the OECD and involving more than 50 participating countries. In its previous edition, in 2018, 33% of Spanish teachers had temporary contracts. The study also shows that teacher job satisfaction is among the highest, at 95%—compared to 89% in the OECD and 90% in the EU. As a new feature, TALIS analyzes four new areas: the impact of artificial intelligence on learning and teaching, managing diversity in the classroom, socio-emotional learning, and education for sustainability.

Artificial intelligence (AI)-assisted protein engineering is enabling advances in the design of new molecules, but it also poses biosafety challenges related to the potential production of harmful or dangerous proteins. Some of these threats, whether deliberate or accidental, may not be detected by current control tools. An international team has analyzed the situation and developed software patches to improve their identification, although they acknowledge that it remains incomplete. The authors of the study, published in the journal Science, warn that some of the data and code should not be published in a public repository due to its potential misuse.

An artificial intelligence (AI) tool can predict the probability of more than 1,000 diseases based on a person's medical history, with greater accuracy than existing technologies, which focus on fewer pathologies, according to the authors in Nature. This model, called Delphi-2M, is also capable of simulating health trajectories for up to 20 years. The tool was trained with health data from 400,000 people in the United Kingdom and tested using data from nearly two million people in Denmark.

Brain-computer interfaces are devices that decode nerve signals and can help people with paralysis move and communicate. Now, a team at the University of California (USA) has used artificial intelligence tools to improve their functioning. In an initial study, their use improved a person with paraplegia's cursor control fourfold. It also allowed the person to perform tasks with a robotic arm that they couldn't complete without the AI. The results are published in the journal Nature Machine Intelligence. 

The introduction of artificial intelligence (AI) to assist in performing colonoscopies is associated with a reduction in the ability of healthcare professionals to detect precancerous growths (adenomas) in the colon without the aid of AI, according to an article published in The Lancet Gastroenterology & Hepatology.

Large language models—artificial intelligence systems based on deep learning—could be useful in detecting mental health risks such as depression and suicide risk in narrative tests of patients undergoing psychiatric treatment. This is one of the conclusions of research published in JAMA Network Open, which also shows the potential of embeddings — a natural language processing technique that converts human language into mathematical vectors — to achieve the same end.

In online debates, Large Language Models (LLMs, i.e. Artificial Intelligence systems such as ChatGPT) are more persuasive than humans when they can personalise their arguments based on their opponents’ characteristics, says a study published in Nature Human Behaviour which analysed GPT-4. The authors urge researchers and online platforms to ‘seriously consider the threat posed by LLMs fuelling division, spreading malicious propaganda and developing adequate countermeasures'.

A team from the Centre for Genomic Regulation (CRG) and Pompeu Fabra University (UPF) in Barcelona has developed an artificial intelligence tool capable of designing regulatory sequences for genes that do not exist in nature. When introduced into cells, these enhancers can increase or decrease gene activity in a specific way depending on the type of cell targeted. According to the authors, ‘the potential applications are enormous. It's like writing software, but for biology.’ The results are published in the journal Cell.

A team led by the Centre for Genomic Regulation (CRG) in Barcelona and the Institute for Bioengineering of Catalonia (IBEC) has developed and used a new artificial intelligence (AI) tool called CANYA, together with a large volume of data, to predict when and why protein aggregation takes place. The resource could be used to advance research into neurodegenerative diseases and drug production, according to the joint press release. The results are published in the journal Science Advances.