"Initially styled as a conversation about how artificial intelligence (AI) is transforming life sciences, it became quickly apparent that the conversation was not going to be limited to the life sciences sector. Instead, the discussion evolved into a robust discussion about data risk and intellectual property, focusing on what every innovative company should have front of mind when considering the adoption of AI tools."
"Indeed, the discussion this week is really about what all companies must do to allow or even encourage the use of AI by researchers and scientists without opening catastrophic IP and data security failures, risk and liability. And we say it that way because whether you know it or not your employees are already using AI, and if you make it difficult or impossible for them to use AI tools at work, they will simply do things at home or on their smartphone."
AI adoption delivers productivity gains but also creates substantial intellectual property and data-security risk when used without governance. Many employees already use AI tools, both sanctioned and unsanctioned, which increases exposure to trade secret loss and contractual breaches. Companies should provide vetted, secure AI tools, implement clear data classification and access controls, and deploy monitoring and training to reduce misuse. Legal, IP, and technical teams must collaborate on AI governance, contractual terms, provenance, encryption, and workforce guidance to balance innovation enablement with risk mitigation and liability reduction.
Read at IPWatchdog.com | Patents & Intellectual Property Law
Unable to calculate read time
Collection
[
|
...
]