Learn how global organizations are operationalizing responsible AI in healthcare.
We asked experts to discuss the challenges of artificial intelligence developments in the workplace, their economic impacts and share their positive AI visions for the future.
Tech startups say their AI systems can interrupt biases in hiring and promotion, helping to address the gender gap, but experts warn no algorithm is perfect.
Researchers used the tool FastStack, which combines 'AI with genomic prediction technology to identify the combinations of genes most likely to improve crop performance'.
Researchers used AI to detect breast cancer and found that the system outperformed human specialists, prompting news outlets to promote their systems.
The cultural differences between China and Europe present a unique set of challenges when it comes to aligning AI ethics. Is a global framework possible?
Researchers revisited a 2004 study to see if the tendency to lie has increased in line with the rise of digital communication platforms and social media.
Two economists find that robot diffusion can increase the quality of manufactured exports.
The use of technology in academic writing is already widespread, with many students and teachers at university using AI-based tools like Turnitin and Grammarly.
AI technology ethics are already being questioned, with critics saying systems could compromise privacy, target marginalized groups and normalize intrusive surveillance.
MIT researchers are training the next generation of social robots. A new framework allows robots to understand what might help or hinder another robot.
Chatbots and virtual assistants that use AI have become omnipresent. Frameworks on how to regulate them need to be created. Here's what the future of chatbots might look like.
Researchers have discovered precisely how spiders build webs by using night vision and artificial intelligence (AI) to track and record their leg movements.
MIT researchers developed an AI technique that reduces tendencies for machine learning models to use shortcuts, creating more reliable results.
The field of AI governance has grown rapidly over the last five years with an immediate challenge to ensure responsible application and practices.