Our news
-
Bridging the AI Literacy Gap: A Call to Action for Engineers
As AI technologies reshape software engineering, there’s a pressing need for engineers to enhance their AI literacy. Bridging this gap is essential for building secure, efficient, and impactful AI-powered systems.
-
AI Talent Sourcing: A New Frontier for Labor Markets
AI-powered sourcing platforms like ProvenBase are reshaping recruitment, raising new questions about access and bias in labor markets. As firms adopt these technologies, the implications for hiring practices and worker opportunities become increasingly complex.
-
The Butlerian War — The AI Chapel
A congregation prays for divine intervention. The AI responds with automated emails.
-
The Chore List
When AI takes over the chore list, the results might not be what you expect.
-
Dear Humans: Using AI for Apologies That Aren’t
You have been using AI to generate apologies, then editing them until they no longer contain any actual apology. This is a choice.
-
AI-Driven Precision Oncology: Enhancing Cancer Therapy Development
Ardigen and VERAXA Biotech are collaborating to enhance precision oncology through AI-driven drug discovery, optimizing cancer target selection for T cell engagers and antibody-drug conjugates. This partnership aims to minimize toxicities and improve success rates in cancer therapies.
-
AI’s Role in Shaping Trust and Relationships in Mental Health Care
AI is transforming mental health care by offering immediate support through chatbots and therapy micro-bursts, yet it often lacks the emotional insight and judgment that human therapists provide. This shift raises concerns about how trust and relationships in mental health are evolving in an AI-driven landscape.
-
Power Dynamics and Institutional Trust in the AI Governance Landscape
Recent discussions on AI governance highlight crucial shifts in power dynamics and institutional trust. As frameworks like FARO emerge, the need for inclusivity and transparency in decision-making becomes paramount.
-
Bridging the AI Literacy Gap in Software Engineering Teams
The integration of AI into software engineering demands a heightened understanding of AI principles among engineers. Bridging the AI literacy gap is essential to ensure effective utilization of AI tools and to mitigate security risks.
