Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

<p>AI, ethics, and explainability. Are these topics that only large corporations can spend resources on? Can product-focused startups even think about them?</p> <p>We answer such questions in this amazing episode with Erika Agostinelli from the AI Elite team at IBM.</p> <p> </p> <p>Sponsored by Amethix Technologies</p> <p><a href='https://amethix.com'>Amethix</a> use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.</p> <p> </p> References <p>AIX360:</p> <p><a href='https://aix360.mybluemix.net/'>https://aix360.mybluemix.net/</a></p> <p> </p> <p>Questioning the AI: Informing Design Practices for Explainable AI User Experiences</p> <p><a href='https://arxiv.org/abs/2001.02478'>https://arxiv.org/abs/2001.02478</a></p> <p> </p> <p>Explainable AI - IBM</p> <p><a href='https://www.ibm.com/uk-en/watson/explainable-ai'>https://www.ibm.com/uk-en/watson/explainable-ai</a></p> <p> </p> <p>AI Ethics - IBM</p> <p><a href='https://www.ibm.com/artificial-intelligence/ethics'>https://www.ibm.com/artificial-intelligence/ethics</a></p> <p> </p> <p>Erika Agostinelli’s personal webpage: </p> <p><a href='https://www.erikaagostinelli.com/'>https://www.erikaagostinelli.com/</a></p>