In 1984, James Cameron directed a science fiction movie about the catastrophic consequences of artificial intelligence and human hubris that launched a multi-billion dollar franchise. Today, AI has migrated away from fiction and deeper into real life science and technology, affecting nearly every aspect of our lives. Given the dystopian future portrayed in The Terminator and other similar films, it’s unsurprising that over two-thirds of Americans report being afraid of AI in a recent survey from Reuters.  

Nonetheless, AI is taking center stage, and businesses, governments and IT experts must take an active stake in its ethical implementation, putting care into policy, practice and practical application. AI’s potential to revolutionize our world is immense, and with the right approach, we can ensure a future that is not only technologically advanced but also ethical and safe. This potential should inspire us, not intimidate us. 

Though it’s easier said than done, it’s not impossible. Past instances of disruptive tech and current risk mitigation techniques provide examples of managing AI responsibly. We need to build a strong foundation and foster the proper mindset to keep the future of artificial intelligence safe. 

Give the People What They Want (When You Can) 

How are you handling AI with your people now? Listening to employees about their perception of artificial intelligence can provide valuable insights to help shape AI policies. For example, following the protest of 4,000 employees, Google chose not to renew a Pentagon contract for automatic recognition software in drones. The company still pursued defense contracts but excluded any for developing AI-powered weapons. This is a clear demonstration of the power of employee voices in shaping AI policies. 

We can still do more to reinforce the ethical implementation of AI, but one of the biggest companies in the world and the DoD grew ethically through the passion of a few people. 

So, how do you mirror Google? For starters, create an open-door policy to discuss your artificial intelligence policy, asking for your team’s input along the way. This inclusive approach values their contributions and makes them feel a part of the decision-making process. It’s about making everyone feel included and valued. 

Build Mindset for the Future 

You’re likely familiar with Blue Sky Thinking, a mindset that encourages brainstorming without being limited by practicality. Yet, there are inherent limitations because you’re always trying to bridge the gap between existing practices and where you want to be. I advocate for a different approach, the Black Sky Thinking model, which challenges expectations and moves forward with creative assurance — especially with AI. This model encourages thinking beyond the norm, pushing the boundaries of what is considered ethical in AI implementation.  

The authors of a paper called Labour, Automation, and Human-Machine Communication explored the interactions of human-machine relationships in workplaces where AI has been implemented. During the process, they observed a critical opportunity to educate workers on AI’s inner workings and empower them to take action. Giving people a voice to speak up and question data, systems and algorithmic outputs can be the key to safe, ethical and unbiased decision-making.  

Put Value on Soft Skills 

Another way to ensure ethical AI is to realize that soft skills are equally as important as hard skills in creating artificial intelligence. People who consider ethical consequences are a barrier between us and catastrophe. As Timnit Gebru, founder and executive director at The Distributed AI Research Institute (DAIR), puts it, “You want people in AI who have compassion, who are thinking about social issues, who are thinking about accessibility.” These soft skills are crucial in AI development, as they ensure that the technology is efficient, ethical and considerate of societal impacts.

Your own hiring team and technology staffing partner are essential on this front. When people commit to doing good, nurture relationships in their talent pool, learn the company’s values and eliminate barriers to finding people and principles that match, maintaining artificial intelligence ethics will be second nature. And it can keep technology progressing for the better.