Adam Sobieski is an experienced researcher, developer, entrepreneur, and consultant. His research interests span disciplines and include artificial intelligence, narratology, and the digital history of ideas.

He is interested in applications of artificial intelligence to education and to the acceleration of scholarly and scientific progress and achievement.

He is interested in artificial-intelligence safety, the alignment problem, machine ethics, moral enhancement, legal informatics, legal information retrieval, and computational law.

While his previous research is available on this website in the form of his recent articles and curated bibliographies, his most current research includes explorations into multiple-text comprehension, synthesis writing, and narrative spaces.

Multiple-text comprehension results from the processes and strategies with which readers make sense of complex topics or issues based on the information presented across multiple texts. These processes and strategies are necessary when readers encounter multiple challenging, conflicting documents on complex issues.

Synthesis writing is a set of processes and strategies through which the contents of multiple texts can be integrated into resultant output texts.

Narrative spaces arise when individuals refer to, generalize over, blend, or otherwise reason about multiple narratives, e.g., during individual and group creative processes.