Artificial intelligence has become a ubiquitous topic of conversation, permeating every aspect of our lives. Whether you’re reading the news, chatting in the office, or tuning in to your favorite podcasts, the buzz around AI is hard to ignore.
These are exciting times, as AI is positioned to transform how businesses operate, and how we as individuals perform our work. It’s easy to focus on the opportunities for improving productivity and operational efficiency, but there are also risks and challenges that warrant careful consideration. If this sounds familiar to you, it’s because the same things have been said about data for decades.
3 AI Governance Tips
Given the similarities between data governance and AI governance, what data governance learnings can we apply to AI governance?
1—Prioritize AI Literacy
Just as data governance emphasizes the importance of data literacy, AI governance should prioritize AI literacy. It is essential to educate stakeholders, decision-makers, and employees about the fundamental concepts, benefits, limitations, and potential risks associated with AI technologies. At Domo, we foster AI literacy internally through regular training sessions, hackathons, and a newsletter to ensure our employees are equipped with the knowledge and skills to use AI effectively.
2—Enable safe use of AI tools
Just like with Data, to maximize the benefit of AI, organizations need to create a safe environment to use these tools. By establishing guidelines, policies, and safeguards, organizations can create an environment where AI tools can be used safely. At Domo, we use AI tools that don’t contribute to the public Large Language Models (LLMs) and allow for monitoring of use (these tools are also available to our customers).
3—Don’t stop people from using AI
You can’t stop people from using these tools, and nor should you try. When users have a need to perform analytics on their data, they will find ways to accomplish it, even resorting to tools like Excel if necessary. The same principle applies to AI technologies—if users see the value in using AI to enhance their processes, they will seek out ways to incorporate it into their workflows. Rather than disabling access to ChatGPT on the work network, instead promote monitored tools (such as the Domo ChatGPT brick) and educate your users on why they should use these tools instead.
How to balance the power of AI with effective AI governance
The pervasive nature of AI in our conversations and its transformative potential across industries can’t be denied. Just as data governance has provided valuable insights and learnings, we can apply similar principles to AI governance. By prioritizing AI literacy, providing safe AI tools, and encouraging the use of these tools, organizations can begin to navigate the complexities of AI governance effectively.
It is essential to strike a balance between using the power of AI for innovation and maintaining control, security, and ethical considerations. As AI continues to shape our world, it is crucial to approach its governance with a forward-thinking mindset, fostering a culture of responsible innovation and empowering individuals and organizations to harness the benefits of AI while addressing potential risks. With proper AI governance in place, we can unlock the full potential of AI and pave the way for a future that is both technologically advanced and ethically sound.
Check out Domo’s AI Service Layer to learn more about how Domo uses AI to connect innovation to impact—flexibly and securely. Alternatively, if you have any questions, please feel free to reach out to us at ai@domo.com.
The post AI’s All the Rage—3 Tips to Govern It Well first appeared on Blog.
