How Businesses Can Regulate AI Usage for Maximum Success
As AI (artificial intelligence) becomes more commonplace in business, it’s crucial to understand how to regulate its use for maximum success.
According to entrepreneur Alexander Djerassi, there are three key ways businesses can manage their AI usage: setting goals, creating a team of experts, and establishing checks and balances. This article will discuss these methods in detail and explain why they are so important for regulating AI in the workplace.
What is Artificial intelligence in business?
AI is a process of programming computers to make decisions for themselves. It could be anything from automating simple tasks to creating entire business systems.
Businesses can use AI in different ways, such as improving customer service, increasing efficiency, or reducing costs. However, with great power comes great responsibility, and it’s important to remember that not all businesses are suitable for AI implementation.
Important questions before introducing AI in business:
-What are the goals of the business?
-How can AI help achieve these goals?
-Are the resources necessary to implement and maintain an AI system available?
If the answer is yes to all of these questions, then move on to the next stage.
Keyways businesses can manage their AI usage:
Setting Goals:
One of the most important things a business can do before implementing AI is to set clear goals. These goals should be specific, measurable, achievable, relevant, and time-based (SMART).
For example, a goal could be to reduce customer service wait times by 50%. It would be specific, measurable (wait times can be tracked and compared), and achievable.
After setting the goals, it’s essential to create a plan for achieving them using AI. This plan should include what tasks will be automated, what data it will be collecting, and who will be responsible for ensuring everything runs smoothly.
Creating a Team of Experts:
To ensure that the business achieves its set goals, experts must manage and monitor AI usage. This team should consist of people with different skill sets, such as data scientists, software engineers, business analysts, and project managers.
The team should also be responsible for training other employees on using AI and monitoring its impact on the business.
Establishing Checks and Balances:
Despite a well-selected team of experts, there will always be a risk of things going wrong.
According to Alexander Djerassi, it’s vital to establish checks and balances such as regular reviews of AI usage and data collection to minimize this risk.
Different people with different perspectives should carry out these reviews to ensure that no stone is left unturned.
Risks associated with AI in business
-Unintended Consequences:
AI can sometimes have unintended consequences such as reducing staff numbers or automating jobs that humans currently do. It’s important to have a plan for what will happen if these things occur.
-Data Leaks:
As AI becomes more sophisticated, it’s becoming easier for hackers to steal data. This data can be used to exploit businesses or personal information.
-Ethical Concerns:
These include how AI will impact the workforce in the future. Everyone involved in AI implementation should address and discuss these concerns.
