In our conversation with Fiona, we dive into the importance of data quality. Fiona is a strong advocate in applying rigour to the data process in machine learning. She firmly believes that the unglamorous side of machine learning needs to be addressed and standardised to avoid unethical issues related to these technologies.

Interview with Fiona Browne, Head of AI at Datactics. You can follow Fiona on LinkedIn: https://www.linkedin.com/in/flbrowne/

This episode is brought to you by EthicsGrade, an ESG Ratings agency with a particular focus on Technology Governance, especially AI Ethics. You can find more information about EthicsGrade here: https://www.ethicsgrade.io/ You can also follow EthicsGrade on Twitter (@EthicsGrade) and LinkedIn: https://bit.ly/2JCiQOg

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Resources:

• Datactics - https://www.datactics.com/
• Andrew Ng Urges ML Community To Be More Data-Centric - https://bit.ly/3khqAVb
• Google’s “Everyone wants to do the model work, not the data work”:
• Data Cascades in High-Stakes AI - https://bit.ly/3bSm9Mc
• What Ever Happened to IBM’s Watson? - https://nyti.ms/3bRNC0q
• Are You A Robot? episode with Shea Brown - https://bit.ly/3EMqb58
• Some gripes about groupthink – https://on.ft.com/3khFfzQ
• Are You A Robot? episode with Louis Byrd - https://bit.ly/3qe93kI