Dear Esraa Ghazy ,

AAAI – collocated with IAAI (Innovative AI Applications) and EAAI (Educational Advances in AI) was a great place to exchange ideas and learn about innovative research on dialogue and AI apps.

Many AI apps deal with robotics, dialogue systems, and assistive technologies. However, there was a great deal of research using machine learning for social sciences, medical purposes, etc.

https://certainly.io/blog/9-revolutionary-ai-applications/

Regards,

Shafagat

Esraa Ghazy

The use of AI in writing scientific articles is a promising application of the technology. AI-powered writing tools can help researchers and scientists to produce high-quality scientific articles faster and more efficiently.

One potential benefit of using AI to write scientific articles is that it can help to reduce errors and inconsistencies in the text. AI tools can analyze and interpret large amounts of scientific data and research papers, making it easier to identify and correct errors or inconsistencies in the text. This can improve the overall quality of the scientific article and reduce the time and effort required to produce it.

Additionally, AI-powered writing tools can also help to speed up the process of writing scientific articles. Researchers and scientists often spend a significant amount of time writing and revising their work, but with the help of AI, this process can be accelerated. AI algorithms can generate high-quality text quickly and accurately, allowing researchers to focus on other important tasks such as data analysis or experimentation.

However, it is important to note that while AI can assist in writing scientific articles, it is not a replacement for human expertise and knowledge. Scientific writing often requires critical thinking, creativity, and subject matter expertise, which are still best provided by human scientists and researchers.

Esraa Ghazy

AI can help with tasks such as data analysis and summarizing complex scientific concepts, potentially making research more accessible to a wider audience. AI can also help identify patterns and connections in large datasets, which can lead to new insights and discoveries.

On the other hand, there is a risk that AI-generated articles could lack the nuance and critical thinking that human researchers bring to their work. AI may not be able to identify subtle biases or errors in research, and it may not be able to accurately capture the context of a given study. Therefore, it is important that AI-generated articles are reviewed by human experts to ensure their accuracy and relevance.

In addition, the use of AI in scientific and medical writing raises ethical questions about authorship and intellectual property. Who should be credited as the author of an article that was primarily generated by AI? What are the implications of using AI to automate scientific research and publishing? These are complex issues that will need to be addressed as the use of AI in scientific and medical writing continues to evolve.

How about this?

Romania PM unveils AI ‘adviser’ to tell him what people think in real time

Nicolae Ciuca says bot named Ion is a world first and that using artificial intelligence is ‘an obligation’ to make better decisions...

Romania’s prime minister has presented his “new honorary adviser” – an artificial intelligence assistant named “Ion” that Nicolae Ciuca hailed as the first of its type.

Developed by Romanian researchers, Ion’s main task will be to scan social networks to inform the government “in real time of Romanians’ proposals and wishes”, Ciuca said...

https://www.theguardian.com/world/2023/mar/02/romania-ion-ai-government-honorary-adviser-artificial-intelligence-pm-nicolae-ciuca

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the sustainable booming of AI. This paper undertakes a comprehensive survey on the development and application of AI in different aspects of fundamental sciences, including information science, mathematics, medical science, materials science, geoscience, life science, physics, and chemistry...

Article Artificial Intelligence: A Powerful Paradigm for Scientific Research

“Data is the new oil. And so there’s sort of this very colonial perspective of, this is a land grab.”

Like other researchers from the global south and Indigenous communities working on machine-learning models for their languages, software engineer and artificial-intelligence ethicist Michael Running Wolf is wary of big tech companies collecting data for proprietary tools...

Google Translate isn’t much help, and speech recognition tools such as Siri or Alexa can’t understand you. All of these services rely on a field of AI known as natural language processing (NLP), which allows AI to “understand” a language. The overwhelming majority of the world’s 7000 or so languages lack data, tools, or techniques for NLP, making them “low-resourced,” in contrast with a handful of “high-resourced” languages such as English, French, German, Spanish, and Chinese...

https://www.science.org/content/article/ai-often-mangles-african-languages-local-scientists-and-volunteers-are-taking-it-back

The preprint server bioRxiv is piloting using a ChatGPT-like AI tool to write outlines for all new preprints posted on the site. The service creates three short summaries aimed at different reading levels, from general to expert. The results are mixed: most summaries have been pretty good, but others are littered with falsehoods. “The motivation was really to improve accessibility,” says bioRxiv co-founder Richard Sever. “There will be some nonsense, inevitably.”

https://www.nature.com/articles/d41586-023-03545-x