The Black Box Problem: Why AI In Recruiting Must Be Transparent And Traceable
The lack of transparency in AI for recruiting raises significant concerns about fairness, bias and accountability in hiring ...
GPUs go biological: BBB unveils Bionode, lab-grown, living neuron compute for AI applications
BBB is already working with ethicists and regulatory experts to ensure its technology is developed responsibly.
How To: Explainable AI For Ideal Customer Acquisition In Wealth Management
For wealth management firms, finding and converting the best potential clients is essential for organic growth.
The gray box comment issue on Facebook, explained
In early March 2025, social media users noticed gray boxes started appearing when leaving a Facebook comment using an Apple ...
Times Higher Education8d
Beyond the black box: how DeepSeek could transform higher education
DeepSeek’s transparent reasoning process, accessibility, affordability and open-source model could have significant ...
Financial Planning8d
Raymond James' new AI chief opens up about tech at the firm
Stuart M. Feld took the time to speak with Financial Planning about his vision for his newly created role, how the firm is ...
Devdiscourse12d
Why explainability matters: XAI as the key to building trustworthy AI systems
The study reveals that XAI methodologies are essential for making black-box AI models more transparent. Traditional ML models ...
AI shouldn’t be a black box: Infosys co-founder Nandan Nilekani is impressed with China’s DeepSeek, but...
Infosys co-founder Nandan Nilekani has criticised the increasing complexity of AI models, arguing that it does not ...
Los Angeles Business Journal1d
Salt AI Partners With Ellison Medical Institute
Santa Monica-based Salt AI announced a research partnership with the Ellison Medical Institute in Sawtelle to develop a drug ...