How can we prevent bias in decision-making processes?
Preventing bias involves implementing structured decision-making processes, using diverse teams, and relying on data-driven insights.
What are some common types of biases that affect decisions?
Common biases include confirmation bias, anchoring bias, and availability heuristic, which can skew our judgment.
Can technology help in reducing these biases?
Yes, technology like AI can analyze data objectively and highlight patterns that humans might overlook, reducing bias.
What role does diversity play in decision-making?
Diversity brings different perspectives, which can challenge assumptions and lead to more balanced and fair decisions.
Are there any tools or frameworks to help with this?
Yes, tools like decision matrices, bias checklists, and frameworks like the Six Thinking Hats can help mitigate bias.
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