Generative AI Is Totally Shameless. I Want to Be It
AI has notable challenges like lack of proper attribution, biased outputs, and an obsession with creating a future AI god. Despite issues, its allure remains. [ more ]
Op-Ed | To build an equitable AI industry, we need Empire AI | amNewYork
AI is shaping various sectors like healthcare, finance, and education, and diversity in tech is crucial for creating products that meet societal needs.
The future of AI development depends on diversity, as biases in AI technologies stem from the lack of representation and can perpetuate discrimination. [ more ]
How to Use AI Tools to Improve Quality of Internet Searches
AI tools are increasingly integrated into internet search engines, with Google and Microsoft leading the way.
AI systems like chatbots may improve user experience but also pose risks, including dissemination of false information and perpetuation of biases. [ more ]
How Are Healthcare AI Developers Responding to WHO's New Guidance on LLMs?
The World Health Organization (WHO) has released new guidelines on the ethics and governance of large language models (LLMs) in healthcare.
WHO outlined five broad applications for LLMs in healthcare, including diagnosis and clinical care, administrative tasks, education, drug research and development, and patient-guided learning. [ more ]