1、A collaboration between IMD,Microsoft,and EqualVoiceMind the GapWhy bias in GenAI is a diversity,equity,and inclusion challenge that must be addressed nowAddressing bias in GenAI301Executive summary402Bias in GenAI:A risk that must be addressed603Bias in GenAI:Where it comes from,how it manifests,an

2、d why it matters3.1 How does bias manifest?3.2 Why bias in GenAI matters to business3.3 Bias in GenAI in media,entertainment,and news a DE&I perspective1404Making GenAI more equitable:A pan-organizational approach to process,technology,and people4.1 Process4.2 Technology4.3 People3005Case study:Micr

3、osofts RAI practice5.1 The RAI ecosystem5.2 Mitigation layers4406Takeaways and recommendations 5407References5608Survey methodology6009Acknowledgements64ContentsAddressing bias in GenAI5The integration and deployment of GenAI in business and society is expected to soar in the next 12 months,unleashi

4、ng productivity gains that could add trillions of dollars to the global economy.Yet,even as organizations embrace the promise of this transformative technology,there is increasing focus on its associated risks.Among these,bias in GenAI training data,development,and output is becoming recognized as a

5、 possible threat to its fair,equitable,and inclusive use.In this white paper,we define bias in GenAI in relation to diversity,equity,and inclusion as:Systematic and non-random errors in the data,algorithms,or the interpretation of results made by machine learning models that lead to unfair outcomes,

6、such as privileging one arbitrary group of users over others.(Tronnier et al.,2024,p.3)Unchecked,bias in GenAI has the potential to perpetuate and even amplify unfair outcomes for segments of the community,and to contribute to societal injustice.This report harnesses the expertise of IMD,Microsoft,a