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Using Unapproved GenAI Tools at Your Workspace? Salesforce has 6 Safe Use Recommendations

It’s ChatGPT anniversary month. With millions of users registered online, ChatGPT and other generative AI tools have made a significant impact on every business operation. But, have organizations adopted Gen AI safe use best practices to address ever-growing challenges and concerns related to bias, ethics, privacy, accuracy, and ownership?

Gen AI at Workplace: What It Means for the Organization?

Generative AI is at the center of every business operation in 2023. Public awareness about generative AI tools and their general applications at workplaces has grown significantly since ChatGPT’s launch last year. No longer isolated as a “niche technology”, Gen AI can add between $2.2 trillion and $4.4 trillion every year to the global economy.

According to a report, Gen AI adoption will increase automation which will result in job loss in the next three years. For organizations, saving manpower costs could come at a price! Cybersecurity risks and uncontrolled AI access.

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Leading organizations are grappling with the problem of shadow IT. We are already familiar with Gen AI’s problems with intellectual property rights. The limitless access to cloud-hosted business applications has created a new menace for cybersecurity management teams. For instance, the unauthorized use of generative AI tools is putting businesses at risk. AI-generated content passed off as original authored information leads to reputational challenges for brands. Similarly, the unauthorized use of AI copilots to write codes or fix bugs can expose applications to new types of vulnerabilities that act as vectors for cyberattacks. With GPT skills gaining more prominence in the job markets, professionals are “unethically” overstating their generative AI skills to secure internal promotions and during interviews.

According to Salesforce, 41% of workers have done this in the last 12 months.

Here, using unauthorized generative AI tools at the workplace spells new types of challenges for leadership. Whether it’s a worker’s ignorance or plain casualness toward company-wide cybersecurity programs, the conspicuous gap in laying down the ground rules ethical and safe use of AI tools is a huge business risk.

Currently, 79% of organizations do not have clearly defined policies regarding the use of gen AI for workers.

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Global workers report ambiguous or non-existent generative AI policies at work69% of workers who are using gen AI tools in their workplace have never completed or received training related to safe and ethical use in the last 12 months. Without adequate training in gen AI, workplaces can become highly intrusive and biased in favor of employees who use these tools without appropriate company authorization or knowledge. According to BCG’s Digital Acceleration Index, more than 50% of business leaders discourage Gen AI adoption. They have deep concerns related to Gen AI outcomes as irreproducibility and limited traceability could lead to illegal decision-making.

 BCG’s Digital Acceleration Index

Therefore, it’s important to identify and authorize Gen AI safe use best practices that address growing concerns and challenges in the workplace.

Salesforce has provided the six Gen AI safe use best practices related to workplace applications. These are:

Safe use best practices:

  • Only using company-approved generative AI tools/ applications
  • Never use company data or enterprise-owned information as prompts for generative AI tools
  • Never use personally identifiable information (PII) or customer data in prompts for generative AI tools

Ethical use best practices:

  • Fact-checking or information audits before using gen AI outcomes in decision-making or sharing in a public domain
  • Only use authorized generative AI tools that have been validated for accuracy
  • Only use generative tools that have been approved for use by the company

AI pioneers such as IBM, Salesforce, Google, Microsoft, and NVIDIA can show the path to other organizations for recognizing AI talent and leadership. AI upskilling, reskilling, and talent management are important aspects of growing with Gen AI applications. Some companies such as AT&T have a dedicated Gen AI assistance program for their employees. Similar training and upskilling programs can ensure Gen AI safe use best practices are followed consistently across the organization and industry.

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