As GenAI takes on more work — writing financial reports, automating parts of software development, analyzing proprietary data for go-to-market strategies and so on — mistakes could have wide-reaching impacts, including stalling transformation initiatives.
This will be the moment of truth for responsible AI for two reasons. As GenAI takes on more work — writing financial reports, automating parts of software development, analyzing proprietary data for go-to-market strategies and so on — mistakes could have wide-reaching impacts, including stalling transformation initiatives. We also expect potential AI risks to attract public attention. Policymakers are already taking action, and we may see a GenAI-related crime, such as a political deepfake, hit the headlines. Many GenAI vendors now offer to indemnify customers for potential copyright infringements. That reduces one risk — but trust in the outcomes of your AI systems are still your responsibility.