From the course: AI Strategy Foundations for Data Scientists and Team Leaders
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Risk management and governance
From the course: AI Strategy Foundations for Data Scientists and Team Leaders
Risk management and governance
A critical task as a team leader is risk management. Assess risk as early as possible. Develop risk management skills. It helps ensure your alignment with AI strategy is high quality and impactful. But what sort of skills do you need to learn? Take a broad view of risk management. Be aware of short and long-term risks. Assess immediate risk. Identify critical challenges or disruptions. These affect AI projects, operations, and data. Look for data breaches, data collection, platform issues, and quality shifts. Rapid and decisive response makes the difference. Create playbooks to counter common issues. Assess long-term risk. Recognize the effect of large scale shifts in AI tech, regulations, market dynamics, and hardware. Also, think of ethical uses of data. You are first in line in protecting a company from reputational and financial risk. Work with stakeholders to mitigate risks from misusing AI. Educate and inform. Watching for risk is also everyone's job. Educate your team on long…
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