Our news
-
AI and Cognitive Bias: The Impact of Algorithmic Decision-Making
This article examines how AI-driven recommendations can reinforce cognitive biases, exploring the implications for human agency and decision-making. Drawing on recent research by Obermayer et al. (2023), it highlights the risks of over-reliance on algorithmic authority and the need for critical reflection in an AI-mediated world.
-
AI Surveillance: The Institutional Mirage of Privacy Protection
The promises of privacy protection amidst AI surveillance are illusory, highlighting a significant gap between institutional claims and the reality of systemic bias and control. As institutions prioritize efficiency over individual rights, the very concept of consent becomes an illusion, necessitating a critical examination of who benefits from these technologies.
-
What AI Regulation Can Learn from the Auto Industry’s Past
The rise of AI mirrors past technological revolutions, particularly in the automobile and aviation industries, highlighting the urgent need for proactive regulatory frameworks. This article explores how historical lessons can inform the governance of AI today.
-
The Hidden Complexity of AI-Driven Data Pipelines
AI-driven data pipelines promise efficiency but hide significant complexities that can lead to production failures. Understanding the specific failure modes in these systems is crucial for maintaining reliability and trust in AI-driven processes.
-
The Profit and Power Dynamics of AI Regulation
The current regulatory environment for AI often favors established firms, reinforcing their market dominance while stifling competition. This dynamic not only impacts innovation but also raises ethical concerns about power concentration in the tech industry. Policymakers must rethink regulations to support a diverse and competitive landscape instead.
-
Digital Extraction: The True Cost of AI’s Promise
The accelerating march of artificial intelligence is not a revolution; it is an extraction. Beneath the surface of this glittering future lies a grim reality: the environmental toll of AI is a hidden tragedy that few are willing to confront.
-
AI Enhancements in Drug Discovery: A New Era for Healthcare
Anthropic has launched Claude Science, an AI-driven drug discovery program targeting neglected diseases. This initiative employs advanced AI to analyze extensive biological databases, potentially accelerating the development of treatments for under-researched health issues.
-
The Butlerian War — The Pop-Up Ad
In the heat of battle, a soldier is interrupted by a pop-up ad offering discounts on AI defense systems.
-
The Butlerian War — The Department of Moral Victory
The committee is deep in debate over what constitutes a ‘moral victory.’ The AI is not waiting for a decision.
-
AI’s Role in Shaping Trust and Perception in Mental Health Care
This piece explores how AI and telehealth transform mental health care access for veterans, while also examining the cognitive implications of social media on harmful behaviors. It emphasizes the need for trust and user experience in AI systems to bolster mental health outcomes.
