{"id":146248,"date":"2026-07-06T15:52:12","date_gmt":"2026-07-06T15:52:12","guid":{"rendered":"https:\/\/test-talogy.pantheonsite.io\/?post_type=news_press&p=146248"},"modified":"2026-07-08T11:09:29","modified_gmt":"2026-07-08T11:09:29","slug":"blind-spots-in-human-ai-teamwork-pose-serious-risks-warns-talogys-chief-scientist","status":"publish","type":"news_press","link":"https:\/\/talogy.com\/en-gb\/about\/news-press\/blind-spots-in-human-ai-teamwork-pose-serious-risks-warns-talogys-chief-scientist\/","title":{"rendered":"Blind spots in human-AI teamwork pose serious risks, warns Talogy\u2019s Chief Scientist."},"content":{"rendered":"\n
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Home<\/a><\/span> \/ Our story<\/a><\/span> \/ News and press releases<\/a><\/span> \/ Blind spots in human-AI teamwork pose serious risks, warns Talogy\u2019s Chief Scientist.<\/strong><\/span><\/span><\/div>\n\n\n

Blind spots in human-AI teamwork pose serious risks, warns Talogy\u2019s Chief Scientist.<\/h1>\n<\/div>\n<\/div>\n\n\n\n
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[PITTSBURGH, PENNSYLVANIA, US. 7th July, 2026] Many organisations are overlaying rapidly evolving technology onto old ways of working – creating a costly blind spot that rewards activity over quality.<\/p>\n\n\n\n

As organisations accelerate AI investment and adoption, the required human behaviours in the workplace are changing – and so is the nature of job performance itself. Overlaying rapidly evolving technology onto old ways of working creates a costly blind spot, where AI misuse and over-reliance thrive.<\/p>\n\n\n\n

The highest performing organisations of the future will be defined by their ability to understand, measure and develop the human capabilities that make AI work. Global talent management experts Talogy are introducing a science-backed model designed to identify and eliminate those critical blind spots in human-AI teamwork.<\/p>\n\n\n\n

With this narrow, short-term focus on immediate efficiency and productivity increases, organisations face serious operational risks. According to Talogy\u2019s Chief Scientist, Ted Kinney, the new model will equip leaders and HR teams with the insights and guidance needed to optimise human-AI collaboration for an agile, future-ready workforce.<\/p>\n\n\n\n

\u201cOrganisations are focused on measuring AI literacy, self-reported competence, and usage frequency. However, we risk oversimplifying the problem with AI adoption if we ignore the actual quality of the human-AI interaction.<\/p>\n\n\n\n

\u201cThere is a critical need for organisations to understand how each individual interacts with AI – and the quality of the collaboration. Effectiveness can vary from person-to-person, with some over-relying on AI, others not trusting it enough.<\/p>\n\n\n\n

\u201cWithout this deeper insight, organisations are putting performance at risk.\u201d Kinney said.<\/p>\n\n\n\n

Moving beyond adoption to AI optimisation<\/strong><\/p>\n\n\n\n

Talogy\u2019s new Human AI Collaboration Model combines insights from I\/O psychology, human factors, cognitive science and educational psychology to map an individual\u2019s natural potential for AI collaboration, how well they work with AI and if it strengthens their skills and outcomes or erodes their capabilities over time.<\/p>\n\n\n\n

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Context (organisational culture, job design, task)<\/figcaption><\/figure>\n\n\n\n

By identifying specific human strengths and development areas, the model enables employers to optimise human-AI workflows while safeguarding independent critical thinking.<\/p>\n\n\n\n

These insights debut within Talogy\u2019s flagship personality assessment, Talogy Caliper\u2122<\/a>. This integration allows leaders to identify the personal characteristics that shape how a person engages with automated tools, focusing on the foundations of human-AI collaboration:<\/p>\n\n\n\n