The use of machine learning in financial institutions carries significant risks thanks to biases embedded in the data and algorithms. We explore the issues and solutions.
ChatGPT's popularity has brought security risks like impersonation, data breaches, and discrimination. Prioritizing security protocols and awareness is crucial. Read more about AI-based risks.
Discover how using generative AI for training can lead to model collapse and irreversible defects, and why preserving human-generated data is crucial. Researchers offer strategies to mitigate the risks, urging the AI community to prioritize responsible use and collaboration for a more inclusive future.
Discover why AI-generated data might not be the best way to train algorithms. Find out how it increases model collapse and leads to discrimination. Learn what researchers advise to prevent it.
ChatGPT, an AI platform, is disrupting the Asian property industry by predicting trends through data analysis and providing personalized recommendations. While AI offers benefits, experts warn of legal and ethical risks. Property companies must take responsible measures to comply with data privacy and cybersecurity rules. AI has the potential to improve productivity and decision-making capabilities of agencies, but measures must be taken to reduce inaccuracies and avoid discrimination in AI systems.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?