algorithmic bias
Addressing Machine Learning Bias in Non-Communicable Disease Research
A scoping review published in BMC Public Health highlights biases in machine learning applications aimed at addressing non-communicable diseases on a population level. The study emphasizes the importance of recognizing and mitigating these biases to ensure effective interventions and equitable health outcomes.
**Title: OpenAI Invests $1 Million in AI Morality Research at Duke University: A Step Toward Ethical AI Development**
OpenAI is funding a $1 million study at Duke University to explore the relationship between artificial intelligence and morality. The initiative aims to enhance understanding of AI ethics amid rising concerns over its societal implications and the safe implementation of AI technologies.
Human Misuse of AI Could Lead to Increased Risks and Dangers
Concerns about artificial intelligence's safety are escalating as technology approaches potential sentience and autonomy. Experts argue that human misuse could exacerbate risks, urging a reevaluation of AI's power and limitations to ensure responsible development and mitigate dangers associated with its advancement.
Exploring AI Search Results: The Pros, Cons, and Adaptability
AI search technology offers both benefits and challenges. While it enhances information retrieval and user experience, concerns about accuracy and bias persist. The flexible nature of AI tools allows for continuous improvement, but users must remain critical of the information provided.
