For many years, the focus has been on the attention economy, which views online content as a limited resource. This idea suggests that human attention is finite, and companies compete fiercely to capture it. As a result, social media platforms and content creators prioritize attention-grabbing content to grow their audiences and revenue. The Attention Economy’s
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All posts tagged in AI Ethics
It’s Data Privacy Week, a good reminder of how our personal information is often at risk. While recent years have seen setbacks in privacy protections, Apple has made a positive move this week. The company announced that it is blocking mobile carriers from tracking your precise location through your network signal. This is a step
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Many AI projects struggle to move beyond the testing phase. There’s no one perfect way to turn AI ideas into useful tools for businesses. But two companies, Ernst & Young (EY) and Lumen, are showing different paths to success. EY takes a cautious, responsible approach, while Lumen pushes for a broader AI culture across the
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WhatsApp has rolled out a set of new security features called “Strict Account Settings” to help keep users safer. These features need to be activated manually and are designed to block suspicious files and attachments from unknown senders, prevent link previews that could lead to scams, and silence calls from unknown numbers. The goal is
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By 2026, many organizations will expand their teams of AI agents across different roles and functions. As this growth accelerates, a crucial challenge emerges: ensuring these agents can work together securely and reliably. Experts warn that without proper controls, AI-driven operations could lead to legal issues, fines, or leadership dismissals by 2030. To address this,
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A new report from Deloitte warns that companies are rolling out AI agents faster than their safety protocols can keep up. This rapid deployment raises serious concerns about security, data privacy, and accountability. Many businesses are moving from testing phases directly into full production without implementing enough safeguards. Rapid Adoption Challenges Traditional Risk Controls According
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Many boards are rushing to improve their scenario planning processes to tackle rising risks, but most are not keeping up with the increasing complexity. A new report highlights a significant gap between what boards are doing and what they need to stay prepared for 2026. Despite efforts to expand their planning efforts, few are leveraging
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The European Union has recently stepped up its scrutiny of X, the social media platform associated with Elon Musk. This time, the focus isn’t about politics or misinformation but something much more personal and troubling: sexually explicit images created or shared using AI technology. Specifically, regulators are concerned about the use of Grok, an AI
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As AI-generated data becomes more common, organizations need to rethink how they trust and handle their information. A new report from Gartner highlights the growing risks associated with AI outputs and how traditional data management methods may no longer be enough. With many companies increasing their AI investments, the need for stronger data controls is
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AI assistants and more advanced agent-based tools are becoming more visible in workplaces. However, most organizations remain cautious about deploying these technologies on a large scale. Experts believe that as the technology matures, wider adoption could happen, but only if companies tackle ongoing issues around security, governance, and trust. The Current State of AI Usage
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