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Key Takeaways Artificial intelligence is no longer just a technology implementation issue. It’s entered the legal and commercial architecture of businesses.
There’s nothing wrong with companies using AI — it’s unmanaged and unregulated adoption that is the real problem. Companies need to keep track of exactly how, when and where they use AI with AI governance documents and policies. Odds are, the government will be asking for them in the next few years.
The first wave of artificial intelligence adoption was driven by speed. Companies wanted faster research, faster drafting, faster customer service, faster sales, faster decisions. In boardrooms and management meetings, AI was presented as a productivity tool, a cost-saving mechanism and, in some cases, a competitive necessity.
That phrase is already giving way to something more serious. The next wave of AI will not be defined only by what companies can automate. It will be defined by what they can explain, defend and govern.
That is where many businesses are dangerously unprepared. For all the excitement around AI, a basic legal question remains unanswered in many organizations: If an AI system produces a harmful, biased, false or commercially damaging outcome, who is responsible?
Not theoretically. Not philosophically. Legally.
The vendor? The employee? The board? The executive who approved the tool? The department that deployed it? The company that relied on it?
AI has moved beyond the technology department
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