- Claims report The adoption of AI depends on critical human skills
- Ethics, adaptability and specific communication of the audience, all appointed
- The skills gap in AI’s workplaces is both human and technical
As IA tools become increasingly integrated in our daily work, new research states that the challenge of not getting the best of them may not be alone with technology.
A Multivarse report has identified thirteen sets of central human skills that could determine if companies realize the potential of AI.
The study warns deliberately to these capacities, investment in AI Writer Systems, LLM applications and other AI tools may not achieve expectations.
Critical thinking under pressure
The Multiverse study is based on the observation of AI users at different levels of experience, from beginners to experts, using methods such as Think Aloud protocol analysis.
Participants verbalized their thinking processes while using AI to complete real world’s tasks.
From this, the researchers created a framework grouping the skills identified in four categories: cognitive skills, responsible skills, self -management and communication skills.
Among cognitive skills, analytical reasoning, creativity and systems thinking, it was found that it is essential to evaluate the results of AI, promote innovation and predict AI responses.
The responsible skills included ethics, such as detecting biases in the results and cultural sensitivity to address geographical or social context gaps.
Self -management covered adaptability, curiosity, detailed orientation and determination, features that influence how people refine their interactions of AI.
Communication skills included adapting the results generated by AI for the expectations of the audience, emphatically involving AI as a thought partner and exchanging comments to improve performance.
The reports of the academic institutions, including the MIT, have expressed concerns of the dependence of the generative AI can reduce critical thinking, a phenomenon linked to the “cognitive discharge.”
This is the process where people delegate mental effort to machines, risking the erosion of analytical habits.
While AI tools can process large amounts of information at speed, research suggests that they cannot replace the nuanced reasoning and ethical judgment that humans contribute.
Multiverse researchers point out that companies that focus solely on technical training can overlook the “soft skills” necessary for effective collaboration with AI.
Leaders can assume that their investments in AI tools address a technological gap when they actually face a combined challenge of human technology.
The study refrains from claiming the AI inevitably weakens human cognition, but instead argues that the nature of cognitive work is changing, with less emphasis on memorizing facts and more knowing how to access, interpret and verify the information.
