AI and CSR: How Can We Get Teams On Board Without Turning Them Into AI Experts?
There’s a difference between having access to ChatGPT and knowing how to use it when working on a somewhat complex CSR topic. Some employees already know how to use it to explore an issue or test an idea, while others limit themselves to very basic uses—either because they don’t have enough time or simply because they aren’t sure where to start.
This difference can quickly become an obstacle when we want to use artificial intelligence to collectively address an issue that affects the entire company. How can we enable everyone to contribute without making proficiency with digital tools a prerequisite?
AI can also be learned through practice
When exploring the possibilities of artificial intelligence, training sessions and tool demonstrations naturally come to mind. But there’s another way to become familiar with these applications: start with a concrete problem—one to which employees can contribute—and let them experience how AI can enrich their thinking.
That’s the approach we take at eSqwad. Our workshops start with a CSR challenge specific to the company and invite participants to work together to find solutions, with the support of AI characters representing different areas of expertise. The scenario and facilitation provide a framework for discussion, while allowing teams to explore avenues they might not have otherwise considered.
Another benefit is that it allows employees who are not AI experts to discover the possibilities of AI by working on a topic they are familiar with. They can focus on the problem at hand, exchange ideas, and see firsthand how other areas of expertise can enrich their thinking.
For CSR managers, this is a way to integrate AI into company practices while giving teams the opportunity to take ownership of it. The experience does not require everyone to become a technology specialist; rather, it allows participants to discover how to use it as part of a collective process in which they remain fully engaged.
There’s a difference between having access to ChatGPT and knowing how to use it when working on a somewhat complex CSR topic. Some employees already know how to use it to explore an issue or test an idea, while others limit themselves to very basic uses—either because they don’t have enough time or simply because they aren’t sure where to start.
This difference can quickly become an obstacle when we want to use artificial intelligence to collectively address an issue that affects the entire company. How can we enable everyone to contribute without making proficiency with digital tools a prerequisite?
AI can also be learned through practice
When exploring the possibilities of artificial intelligence, training sessions and tool demonstrations naturally come to mind. But there’s another way to become familiar with these applications: start with a concrete problem—one to which employees can contribute—and let them experience how AI can enrich their thinking.
That’s the approach we take at eSqwad. Our workshops start with a CSR challenge specific to the company and invite participants to work together to find solutions, with the support of AI characters representing different areas of expertise. The scenario and facilitation provide a framework for discussion, while allowing teams to explore avenues they might not have otherwise considered.
Another benefit is that it allows employees who are not AI experts to discover the possibilities of AI by working on a topic they are familiar with. They can focus on the problem at hand, exchange ideas, and see firsthand how other areas of expertise can enrich their thinking.
For CSR managers, this is a way to integrate AI into company practices while giving teams the opportunity to take ownership of it. The experience does not require everyone to become a technology specialist; rather, it allows participants to discover how to use it as part of a collective process in which they remain fully engaged.