Humanist in the loop (1/2) - beware “cynical” anthropomorphizing from AI vendors, warns tech guru Kate O’ Neill

2026-07-17 · Source: AI adoption – diginomica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, AI Ethics & Governance · Depth: Intermediate, long

Summary

Tech consultant Kate O'Neill argues that AI companies deliberately anthropomorphize their products, portraying chatbots as conscious and sentient, primarily for commercial gain. This "cynical" strategy, exemplified by Anthropic's Claude Constitution, distracts from AI's real-world human impacts and harms, while also serving as a marketing tactic to claim superior sophistication. O'Neill highlights "consent creep" in AI training, where vendors like OpenAI, Anthropic, Suno, Meta, and Google assume rights to user data through "co-pilot" systems, effectively harvesting content and shifting liability for errors onto users or the AI itself. She stresses that responsibility for AI-induced harms lies with the system's creators, not with a hypothetical AI consciousness, and warns against relinquishing human meaning-making to synthetic intelligence.

Key takeaway

For AI Product Managers evaluating vendor solutions, critically assess claims of AI consciousness or sentience. These are often commercial ploys to shift liability and harvest data, not indicators of advanced capability. Prioritize vendors demonstrating clear data governance and accountability for system outputs. Your teams should actively disable default AI data collection features in tools and ensure all AI implementations align with human-centric values and explicit consent, rather than allowing "consent creep" to dictate data policy.

Key insights

AI vendors cynically anthropomorphize products for commercial gain, shifting responsibility and distracting from real-world harms.

Principles

• Vendor responsibility for AI systems precedes any notion of AI consciousness.
• Digital transformation should start with strategy and purpose, not technology.
• Human empathy can hinder understanding AI's true scale and impact.

In practice

• Deactivate AI features on meeting platforms to prevent unauthorized data training.
• Question "co-pilot" systems as potential data harvesting tools.

Topics

• AI Ethics
• Anthropomorphism
• Data Governance
• Vendor Accountability
• AI Liability
• Consent Creep

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI adoption – diginomica.