As I delve into the world of artificial intelligence, I’ve been stunned by the numerous legal risks that businesses face, including those related to copyright, privacy, misinformation, and compliance. While AI is still growing, the risks are growing rapidly with it.
The legal landscape is changing, especially with Europe leading the charge through the EU Artificial Intelligence Act. In the US, almost 20 states have enacted AI-related legislation. Yet, the federal government’s stance on keeping regulations light is evident in the AI policy wishlist from the White House.
Despite the pace at which new regulations appear, AI isn’t reshaping the legal landscape; it’s accelerating it. Risks often trace back to known legal domains such as intellectual property, privacy, consumer protection, and liability.
So rather than considering ‘AI law’ as something entirely novel, it’s more beneficial for me to identify where familiar legal risks stem from within business operations.
I learned that AI risks are prominently apparent in nine business areas. Addressing them doesn’t require legal expertise, just keen questioning to address each concern effectively.
Let me walk you through these areas:
1. Intellectual Property
The key question here is: Who owns the work, and are we unknowingly using someone else’s intellectual property?
In AI, ownership is still being defined. However, the U.S. Copyright Office indicates that works purely generated by AI are not protected. Human creativity must play a significant role in shaping AI’s outputs for potential protection.
Using patented ideas conceived by humans but developed with AI remains in question as per the U.S. Patent and Trademark Office’s revised guidelines. These questions aren’t theoretical; they highlight real, current challenges organizations face.
Emerging case filings, such as The New York Times lawsuit against OpenAI, showcase the ever-growing concern over infringement risks.
Two primary risks stand out: unintentional incorporation of protected material in AI outputs and proving ownership without sufficient human creativity involved. In content creation, human involvement isn’t a luxury; it’s an absolute necessity.
2. Advertising and Misinformation
The pivotal question I consider is: What message are we crafting, and is it accurate?
AI tools empower us to create vast amounts of content, which is advantageous. However, the risk of distributing misleading or incorrect information exists. I witnessed Google Bard’s numerous errors during a product demo, which negatively impacted its market value by $100 billion.
The emergence of hallucinated data, fabricated citations, and flawed reasoning are challenges businesses face when publishing under their brand. I understand that a single error can severely damage reputation.
3. Privacy and Personal Data
The question guiding me is: Are we handling people’s data lawfully, transparently, and respectfully?
Consumer expectations on data privacy have significantly shifted. Legal frameworks like the EU’s GDPR, Canada’s PIPEDA, and California’s CCPA set new standards for collecting, using, and disclosing personal data.
We’ve seen how regulators treat these matters seriously; Italy blocked ChatGPT over privacy issues. Clear policies on data handling are crucial for any organization, and swift communication is required when a customer inquires under prevailing laws.
As I continue exploring AI’s implications on business, these areas underscore the necessity of thoughtful and deliberate strategies to manage AI’s legal implications effectively.
Inspired by this post on Search Engine Land.
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