Let's look at what's going to be one of the big talking points as AI gets integrated into businesses...employee knowledge!
We’re just round the corner now from Large Language Models and other AI technology being implemented into networks to absorb every email, file, and video call within an organisation. And by doing so, they’ll become repositories of the knowledge and expertise of all employees.
From the perspective of a business, this is going to make a lot of sense. The benefits are clear: faster decision-making and minimising the impact of employee turnover.
But this will also mark a turning point in employer-employee relations. Employees may feel they are essentially training AI systems about their roles and processes as it learns from their stored content and conversations.
This shift will undoubtedly expedite workflows, as AI can source answers and complete actions within seconds, rather than the hours or days it might take for multiple human discussions. Plus, if an employee leaves the company, their knowledge will remain as it will be embedded within the AI infrastructure.
Businesses may claim the right to this knowledge, as it was gained through employment. But employees will likely view it as a devaluation of their unique abilities and a form of intellectual property theft, as their knowledge is essentially being copied without consent.
From a technological standpoint, the capability to implement such systems already exists. However, the implementation itself will be a minefield, particularly for freelancers, who may need safeguards to prevent their content and interactions from being stored in these AI systems.
The question remains: Should businesses have the right to the knowledge in their employees' heads, or should that knowledge remain the property of the individual? It's one of many debates that'll shape the future of work and the relationship between employers and employees in the age of AI.
#ai #futureofwork #digitaltransformation #largelanguagemodels
