Security needs to make its voice heard in AI implementations
Cybersecurity leaders must advocate for a balanced approach to artificial intelligence centered around proper governance, transparency and ethical principles.
Artificial intelligence (AI) is advancing at a remarkable rate — a phenomenon to behold, but also daunting for practitioners left to deal with the impacts of a technology that is outpacing the needed guardrails for responsible implementation. Whether it is the development of AI-specific frameworks, the need for more professionals who assess AI through a lens of ethics and digital trust, or the need for AI regulations, we’re not far enough along — and yet, the business imperative to leverage AI becomes more apparent with each passing day.
No company wants to be left behind, but proceeding without conducting due diligence opens the organization to massive risk. This holds true for multiple use cases: AI implementations to innovate product offerings as well as the use of AI in a cybersecurity context. To close some of these gaps in the short-term, there are important conversations to be had with executive leaders, and security professionals are well-positioned to start the dialogue. Among the important questions to raise:
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