Business ethics issues arise whenever an organization encounters a gray area. When laws and regulations exist, it is easy to know when you are violating them. But when practices trump governance, as often happens when advanced technology is involved, organizations must grapple with what is ethical.
AI integration takes businesses into a gray area. AI-related regulations that have emerged so far have primarily focused on consumer issues, namely privacy and security, rather than operational issues. As a result, companies that bring AI internally to address efficiency, productivity, and scalability issues may also face ethical concerns.
Workforce optimization is one of the most important areas where the integration of AI raises ethical issues. Experts have long warned that AI could replace human workers in a wide range of industries. As these predictions come true, business leaders are faced with the challenge of charting an ethical path forward.
Why should companies take an ethical path when integrating AI?
Few technological innovations throughout history have raised such ethical concerns as AI. AI outputs are inherently biased, AI training and deployment can compromise consumer privacy, and the processes AI facilitates often lack transparency. Either of these issues alone is enough to raise ethical concerns. Together they create a perfect storm in the business world.
As companies implement AI, it is critical that their integration strategy focuses primarily on ethics. Having an ethical AI framework is critical to building trust in the market and building and maintaining a positive reputation. Companies that implement AI responsibly, fairly, transparently, and with continuous monitoring and evaluation will win the loyalty of consumers, investors, and employees. A person who does not take the risk of reputational damage that could lead to significant business loss.
Why should AI ethics be applied to workforce optimization?
It is no longer a question of whether AI is capable of replacing human workers. The debate around AI and workforce optimization is currently focused on whether AI should replace human workers.
From a social perspective, this will be the biggest topic. This culture has voiced concerns that replacing human workers with AI will result in mass unemployment, impact community well-being, and increase income inequality. For businesses, this is an issue that needs to be carefully considered.
As companies seek ethical adoption of AI, long-term impacts need to be considered early on. Rushing automation without a long-term vision can have serious social and organizational consequences.
From a purely operational perspective, we must rely on technologies that are still in their nascent stages to quickly replace human workers. Betting on unproven tools can lead to situations where you suddenly have to bring laid-off talent back to work to address performance deficiencies. Alternatively, if AI automation proves reliable, it could spark growth that would overwhelm the remaining workforce.
The introduction of AI automation can also cause morale issues. Employees who stay on the job can easily assume they don’t have a long-term future with the company, which can negatively impact engagement and performance. Left unchecked, these moral issues can undermine company culture, damage corporate image, and reduce productivity.
Downsizing also requires companies to consider how their contribution to rising unemployment affects their opportunities in the market. Looking to the future, we see that replacing workers with AI automation will leave consumers with less money to spend, potentially leading to a downward economic spiral. Again, ethics requires companies to resist short-term business interests that may result in long-term social harm.
These factors indicate that in the current climate, an ethical approach to AI adoption is most easily achieved by using AI as a co-pilot rather than a replacement for employees.
See also: RPA and AI automation: Will robotic process automation be replaced?
What steps can companies take to integrate AI as their co-pilot?
Developing a framework that allows AI to act as co-pilot to today’s workforce starts with a focus on how automation can amplify human strengths. Rather than focusing on how task automation reduces headcount, leverage AI-driven automation to give employees more time for advanced tasks. With AI handling repetitive and time-consuming tasks, employees have more time and energy to be creative and focus on the overall problem. Companies that adopt this approach will realize that humans are not meant to perform repetitive tasks, but rather to harness creativity and constantly innovate.
The second step to unlocking AI co-pilot capabilities is to improve your skills with a vision for the future. Plan a year or two in advance and consider what kind of team you will need to get where you want to go. Next, bring your current employees to the table and consider what automation can help give them the time they need to develop the skills you think they need.
Inviting employees to contribute ideas on how to best integrate AI for future growth can also help improve their current performance. Once they understand that you are leveraging AI to help them grow in their roles, they will no longer fear that AI will be brought into the company to replace them.
The third step is to implement effective governance that requires human approval. Ethical AI frameworks cannot exist without human oversight. Companies committed to ethical AI must set clear guidelines for the use of AI, AI-enabled decision-making, and supervisory approval.
AI is evolving rapidly, so governance strategies need to be updated regularly. Audits and investigations not only help ensure that governance continues to work, but also that employees continue to play by the rules. Keeping up with AI developments can feel like racing Usain Bolt, but the effort to stay up to date shouldn’t be taken lightly.
While AI has already shown its ability to replace human workers when used to automate the workplace, companies may only see short-term benefits given the long-term implications of such deployments. Ethical implementation balances the two forces, allowing AI to improve human performance and create a workplace that remains central to business success.
