DATA & ANALYTICS
NINA BRYANT TITLE : SENIOR MD , TECHNOLOGY COMPANY : FTI CONSULTING LOCATION : UNITED KINGDOM
Bryant specialises in combining data expertise across legal , compliance , privacy and risk to enable business transformation and build cultures of compliance and collaboration in combination with effective technology solutions . Prior to FTI she led a number of data governance and regulatory compliance programs at Deutsche Bank and IBM .
Ethical concerns and the risk of biases Nina Bryant , Senior Managing Director in the Technology segment at FTI Consulting , turns the spotlight on ethical considerations : “ Research has identified critical risks within AI algorithms , including racial , gender and socioeconomic biases and age verification issues , alongside significant data protection risks .” Bryant also highlights the significant regulatory focus : “ There is also significant regulatory focus , with different jurisdictions taking alternative approaches , especially around assessing risks , transparency , explainability and accountability , which will contribute to making AI governance equally challenging and important .”
Webster also takes up the theme of ethical considerations , commenting on the potential
for biases : “ When AI is trained on historical data , it has the potential to inherit biases unless those biases are consciously addressed .” She adds that where AI models are typically trained may inherently introduce biases .
“ It ’ s worth noting that the well-known large language models are generally trained on vast amounts of data from the World Wide Web . The WWW does not necessarily reflect the values and experiences of everyone across the world in equal measure , so this may inherently introduce biases . Data scientists and their teams must prioritise understanding their data sets to avoid ‘ baking-in ’ bias into the model .”
Long-term reliability Jason Tooley , VP North EMEA at Informatica , raises concerns around the role of effective
116 December 2023