According to a report by Thoughtworks, a leading technology consulting company, the deployment of artificial intelligence (AI) needs to be accompanied by an effective risk assessment strategy, suitable for each specific context.

Risk does not exist independently, but is always attached to the context. One of the biggest user risks is failing to acknowledge or understand the context of use for AI, leading to negative consequences for your business reputation, user experience, and workflow. staff.

Thoughtworks encourages businesses to adopt the right tools and techniques to manage AI risk. Their Responsible Technology Handbook provides guidance and methods to identify, analyze and mitigate risks.

Advanced tools and techniques such as Retrieval-augmented generation, NeMo Guardrails, Ollama or Langfuse help reduce risks related to accuracy, transparency, and information security. However, not every solution is suitable for the situation. Businesses will need to carefully consider their specific needs, goals and context to choose the most suitable technology.

At the same time, thinking about risk also needs to be changed. A risk assessment framework such as the “traffic light framework” helps classify risks by severity and take appropriate action. However, instead of just focusing on technology, it is necessary to consider risks in a specific context so that businesses can better understand the impact of AI on people and society, thereby providing appropriate and responsible solutions. responsibility.

Managing AI risks is not an easy task. But it is essential to ensure AI is used in a responsible way that benefits society. By understanding context and continuously updating new technology information, organizations can exploit the full potential of AI and minimize potential risks.