You know that AI already is in your workplace. But do you know how to best utilize and implement the use of artificial intelligence?
An upcoming panel discussion at SAX, featuring experts from SAX, Brach Eichler and Rutgers can help you do just that (for details and to register, click here).

In preparation, take a look at these five tips:
1. ACKNOWLEDGE AI: A significant portion of your workforce is using AI and the spread and breadth of usage will increase rapidly. Act like a high school English teacher and assume every employee is using AI.
2. UNDERSTAND HOW GEN AI WORKS: To manage AI, it requires a basic understanding of how it works and how the marketplace for AI Apps works. The importance of engaging with a qualified AI consulting team to provide education cannot be underestimated. Furthermore, be sure to leverage available solutions that can be customized to work within the structure of an organization, thus mitigating the potential risks.
3. READ THE FINE PRINT: Beware of hype – read the fine print. If an AI App promises confidentiality, have them demonstrate it in writing. Keep in mind that most AI App developers subcontract the generative AI processing to one of the Large Language Model (LLM) vendors. If the promise doesn’t extend to the LLM vendors, it’s not worth the paper on which it’s written.
4. VET WORK PRODUCT: AI creates beautifully written prose; the problem is that anywhere from 15%-40% of it is either mildly wrong, wrong, or completely fabricated. Well-run businesses have instituted protocols to ensure that employees check their work product, and supervisors check the direct reports’ work product.
5. TACKLE AI HOLISTICALLY AND TREAT IT AS A PEOPLE ISSUE, NOT A TECHNICAL ONE: Organizations should deputize a cross-functional group to oversee AI management and implementation. Best practices for the group should include:
- Adopting a formal AI policy for employees
- Adopting a formal AI policy for contractors
- Providing education about AI to the workforce
- Overseeing data privacy protection vis a vis AI
- Ensuring compliance with applicable AI laws
- Ensuring proper cyber security policies and strategies
- Identifying how to protect intellectual property when AI is involved, and the limits of such protection
- Establishing and enforcing AI validation protocols
- Getting feedback from users about the strengths and weaknesses of particular AI Apps


