Last year, we talked about the ethical questions that come with using AI in the workplace. Now, a year later, it’s a good time to look back and see what has changed. What have we learned? What new challenges have appeared? Let’s explore.
Privacy is now a bigger deal.
A year ago, we worried about how companies collect and use employee data. Today, more companies are acting on this. Some are giving employees more control, like asking for permission before collecting certain data. But we’re still not fully there—sometimes data is still collected without clear communication.
We expect fairness from AI.
Before, we were afraid AI could treat people unfairly because of hidden biases in the system. Now, people are asking companies to check for these biases and fix them. Some companies are using tools to find and reduce unfairness in their AI, but it’s a work in progress.
Losing jobs vs. learning new skills
Last year, there was a lot of fear about AI taking over jobs. This fear is still there, but now we see more companies helping their employees learn new skills to work with AI instead of being replaced by it. It’s about teamwork between people and technology.
Explaining how AI works
AI often feels like a “black box,” where we don’t know how it makes decisions. But now, there’s more focus on Explainable AI—making it easier to understand why AI does what it does. This is really important for building trust.
From talking about ethics to doing something about it
Last year, ethics in AI felt like a good idea, but many companies didn’t act on it. Now, more organizations have created policies, committees, and rules to make sure their AI is ethical and fair. This is a big step forward.
What’s next?
Even with these improvements, new questions are coming up:
• How do we balance AI at work with people’s mental health?
• Can we give everyone a chance to learn how to use AI?
• Will laws keep up with how fast AI is growing?
Our thoughts
In the last year, we’ve seen progress, but there’s still a lot to do. AI is becoming a big part of our lives, and it’s up to us to make sure it helps people, not harms them. Let’s keep learning and making AI something we can trust.