Ethical and Accountable Considerations for AI and Machine Learning

When thoughtfully designed and implemented, AI can promote business growth, increased employment, and benefits to society. To realize the potential of AI for human good, as analytics practitioners and data scientists, we need responsible, accountable, transparent, unbiased AI. With a machine learning (ML) platform that supports a proper ML flow, achieving this trust and transparency is possible. In this panel, we’ll discuss current technological and cultural issues in AI and explore ways in which proper dataset assessments and ML platforms can be used to reduce bias and improve outcomes.

The Future of Analytics