Major companies are drafting policies to regulate the use of generative artificial intelligence (AI) tools, such as OpenAI’s ChatGPT, by their employees. While some large organizations continue to embrace the technology, others are choosing to limit access to it due to the multiple risks associated with generative AI. Samsung has already banned its use after discovering an employee uploaded sensitive code to the tool, which could lead to potential issues with intellectual property. Digital business contract software company Ironclad, on the other hand, has developed a generative AI use policy despite the fact that its technology is powered by the same technology. Building company policy around generative AI aims to identify the potential risk and help communicate that risk with the employees.
The CEO of Ironclad, Jason Boehmig, a former legal practitioner, emphasizes the importance of recognizing that companies are responsible for the outputs generated by AI, even those hallucinations that are factually incorrect or overstated. The risks associated with generative AI are categorised as technosocial, i.e., while they may technically lead to issues such as cybersecurity and liability, they also cause societal impacts such as copyright infringement and the impact on climate standards and regulation.
Experts strongly recommend that companies establish internal frameworks that manage and regulate the use of generative AI. Such policy creation allows for clarity in understanding what classes as confidential data, and confirm employee accountability, and prohibit identifiable data input from customers. Experts suggest that the need for multiple stakeholder dialogues and regular scrutiny of policy implementation is fundamental in generating public and private policy based on the Artificial Intelligence Risk Management Framework. Furthermore, It ensures compliance with AI models enabling a clear road map for stakeholders to follow and helps shape legislation to govern AI tools’ use.
Frequently Asked Questions (FAQs) Related to the Above News
What is generative artificial intelligence?
Generative artificial intelligence refers to AI tools that can generate new content, such as text, images, or music, using complex algorithms and machine learning techniques.
Why are companies developing policies around the use of generative AI tools like ChatGPT?
There are multiple risks associated with the use of generative AI, such as potential issues with intellectual property, cybersecurity, and liability. Companies are developing policies to regulate the use of these tools and identify potential risks to help communicate that risk with their employees.
Why did Samsung ban the use of generative AI tools?
Samsung banned the use of generative AI tools after discovering an employee had uploaded sensitive code to one of these tools, which could have led to potential issues with intellectual property.
What is Ironclad, and why did they develop a generative AI policy?
Ironclad is a digital business contract software company that uses generative AI for its technology. They developed a generative AI use policy to regulate the use of these tools and identify potential risks for their employees.
What are the risks associated with generative AI?
The risks associated with generative AI are categorized as technosocial. While they may technically lead to issues such as cybersecurity and liability, they also cause societal impacts such as copyright infringement and the impact on climate standards and regulation.
What are the experts' recommendations for companies using generative AI?
Experts strongly recommend that companies establish internal frameworks that manage and regulate the use of generative AI. Such policy creation allows for clarity in understanding what classes as confidential data, confirms employee accountability, and prohibits identifiable data input from customers.
Why is regular scrutiny of policy implementation important for generating public and private policy based on the Artificial Intelligence Risk Management Framework?
Regular scrutiny of policy implementation is fundamental in generating public and private policy based on the Artificial Intelligence Risk Management Framework as it ensures compliance with AI models, enabling a clear roadmap for stakeholders to follow, shapes legislation to govern AI tools' use, and identifies potential risks associated with generative AI.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
