AI experts challenge ‘doomer’ narrative, including ‘extinction risk’ claims
Top AI researchers are pushing back on recent 'doomer' headlines, including recent warnings about the 'risk of extinction.'
Top AI researchers are pushing back on recent 'doomer' headlines, including recent warnings about the 'risk of extinction.'
Adobe announced a series of AI initiatives on Tuesday, including Firefly, a generative AI tool that generates images using text prompts.
Looking back at a seminal paper on AI ethics and realizing there are lessons from it that the AI community needs to keep in mind today.
Synthetic data for AI is soaring in popularity for its impact on data quality and potential to improve machine learning deployments.
Web3 solutions must become more mainstream and accessible to enable abundant, high-quality data to train AI models and reduce bias.
GUEST: Stakeholder management is difficult. Leaders walk a tightrope: They must build trust between employees, investors, partners and impacted stakeholders who have different (sometimes competing) aims and much to lose.…
An HAI and CCSRE fellow hopes to bring the complexity and value of African American Vernacular English to natural language processing (NLP).
Using a “Pile of Law" dataset, Stanford researchers explore filtering private or toxic content from training data for foundation models.
AI that has a strong UI and proactively cuts out bias is key to a long-lasting, highly-adopted, trusted and scalable solution.
AI has many possibilities. But organizations must strategically implement AI to gain benefits and avoid risk and harmful consequences.