Within the field of human-level intelligence, researchers are combining a variety of approaches toward the goals of human-like breadth, flexibility, and resilience for artificial intelligence systems. Each of the four papers in this special issue brings a different background and…
The purpose of this study was to investigate how artificial intelligence (AI) influences and improves computational propaganda and misinformation efforts. The growing complexity of AI-driven technologies, like deepfakes, bots, and algorithmic manipulation, which have turned conve…
The behaviour of building occupants in the first stage of an evacuation can dramatically impact the time required to evacuate buildings. This behaviour has been widely investigated by scholars with a macroscopic approach fitting random distributions to represent the pre-evacuatio…
Comprehensive sexual health education for young people often remains largely inaccessible, leaving gaps in knowledge about sexual consent, refusals, sexual assault, and sexting. Snapchat's My AI, tailored to its users, offers accessible and potentially stigma-free responses to se…
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors. Within healthcare there has been innovation specificall…
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block oppo…
Developing disease-modifying drugs for neurodegenerative diseases has been very challenging. Now a machine learning approach has been used to identify small molecule inhibitors of α-synuclein aggregation, a process implicated in Parkinson’s disease and other synucleinopathies. Co…
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