Tobias Baer: how to prevent algorithmic bias
Algorithmic bias can affect us everywhere, from minor trivia such as our social media feeds to critical decisions where bias can wreak havoc with a person's life dream or a company's survival. Sources of algorithmic bias are manifold – some, such as biased data and overfitting, sit squarely in the domain of data scientists themselves, while others only can be tackled by the business users and government agencies who use algorithms, be it through carefully crafted experiments that generate truly unbiased data or through deliberate tweaks of the decision-making process.
In this practical and interactive talk, data scientist and psychologist Tobias Baer, data scientist, psychologist and author of 'Algorithmic Bias' puts algorithmic bias in the bigger context of human decision biases and engages the audience (through quizzes and Q&A) in a discussion about both psychological and statistical sources of bias and what business users and data scientists can do respectively to manage and prevent algorithmic bias. The evening concludes with a panel discussion about how regulators should think about algorithmic bias. The panel will consist of: Tobias Baer, Maria Axente (Responsible AI and AI for Good Lead at PwC), Orlando Machado (Chief Data Scientist at Aviva), Clemi Collett (Cambridge based researcher), and will be moderated by Simone Schnall, Director of the Cambridge Body, Mind and Behaviour Laboratory and a Fellow of Jesus College.
5 copies of Tobias' book Understand, Manage, and Prevent Algorithmic Bias: A guide for business users and data scientists will be raffled at this event. To participate in the raffle, please select the 'Raffle Ticket' option on sale at the cost of £1. This will automatically enter you into the prize raffle. Proceeds from the raffle ticket sales will go towards the cost of the event.
Tickets available here:
