Building a strategy
When faced with the ultimatum – stop using AI or risk losing your employment, almost half of all employees would choose the latter. A study published by Software AG takes a deep dive into the AI usage of knowledge workers across the UK, US and Germany, finding that over 50 per cent of workers used Shadow AI or non-company-issued AI tools.
Shadow AI presents a number of issues for businesses, including risk management and data and cyber security. It is therefore essential that organisations without a robust AI strategy, should look to implement one sooner rather than later.
1. Why are employees using Shadow AI?
If it’s not company-issued, why are workers using AI tools? The study found that most workers (53 per cent) said they used their own AI tools out of preference. Whilst an additional 33 per cent claimed that their employers currently didn’t provide the tools needed.
Business leaders can use this data to shape their own AI strategy. This will enable them to engage employees in open discussions around which tools would be most beneficial for them.
2. Shadow AI and risk management
Employees engaging with AI are often more educated on the risks associated with the tools such as cybersecurity, data and inaccurate information. However, without an AI strategy in place for employees to follow, it is hard to track whether adequate precautions, such as running security scans or checking data policies, are being followed.
As AI usage increases across the business, it’s absolutely essential that risk management is core to the overall strategy.
3. Implement a thorough training plan
Employers shouldn’t assume that every team member has a deep understanding of AI or the tools that can be used to support work. Some employees may be hesitant to engage with new technology, or find it harder to implement into everyday working life. As part of the AI strategy, a comprehensive, but tailored training plan should be developed for those needing it. This should take into consideration the skill level and usage of each individual.
For those already engaging with AI regularly, the training may focus more on data management and cybersecurity. It would include regular check-in sessions to maintain a high standard of data protection across the business.
4. Re-gaining control over workplace AI usage
Re-gaining control over AI usage in the workplace doesn’t have to be negative. AI is a great tool for employees, when used in line with company policies. However, if an employer has found that a high-level of staff are engaging with prohibited tools or software, they may need to reflect on existing policies and explore why they are being used. On the most part, AI can be used to complete mundane tasks and free up more time for important tasks.
Tackling non-company issued AI tools is imperative for maintaining a high level of data and cybersecurity within a business and needs to be a priority for business leaders. It’s key to remember that employees aren’t always using AI to be lazy. Instead it’s often in a bid to be more productive at work or to enhance creativity.
With the right policies and procedures in place, open discussion with employees and regular training sessions for staff, business leaders can protect data, mitigate security risks and empower workers to embrace AI at work.