#responsible AI

'Google is investing $1 billion to train students across 100+ US universities with tools, credits, and ethical AI training'

'Users formed deep emotional bonds with GPT-4o; its sudden replacement with GPT-5 provoked grief and renewed debate over how platforms should retire socially embedded AI.'

Stanford's new WORKBank dataset and Human Agency Scale highlight where AI should automate tasks and where human involvement remains crucial, revealing gaps between AI capability and worker desires.

This tutorial explains how to add content moderation to Mistral AI agents, validating both user inputs and agent responses to prevent unsafe or inappropriate content.

Amsterdam's Smart Check AI system aimed to detect welfare fraud while ensuring fairness but failed to overcome bias issues, leading to the pilot’s termination and raising questions about ethical AI in social services.

Only a small percentage of employees receive AI training despite growing executive enthusiasm. Effective upskilling and cross-skilling programs are essential to build confidence and ensure AI enhances rather than replaces human work.

Trust is becoming the foundation of AI development as guardrails and safety measures are necessary to ensure ethical and reliable AI applications across industries.

AI systems often operate as black boxes, causing trust and accuracy issues. Enhancing AI explainability and responsible use is essential for business security and efficiency.

Samer Saab discusses founding Explorance, overcoming bootstrapping challenges, building a values-driven culture, and leveraging AI to transform feedback into actionable insights.