Dec 1: Winter Bootcamp Application Deadline. Apply Now In Just 10 Mins

Javed Ahmed Discusses Ethical Risk and Bias at Ai X West 2020

By Shaunna Randolph • October 28, 2020

VIDEO: Tackling Ethical Risk and Bias in Machine Learning Applications
with Javed Ahmed, Metis Sr. Data Scientist (Corporate Training)

As new applications in AI and Machine Learning enable game-changing opportunities, they generate risks related to ethical considerations and emerging pitfalls. From model and data bias to integrity and consumer privacy, unexpected ethical ‘landmines’ can cause significant harm for businesses, their customers, and others.  Companies building AI and Machine Learning capabilities into business initiatives must tackle expected and unexpected ethical issues that arise.

While some policy choices allow for a subjective decision-making approach, others require planning and deliberate engagement. Participation in community outreach, for example, or initiatives related to corporate social responsibility, present relatively clear-cut trade-offs. On the other hand, it is hard to avoid biased service offerings or breaches of consumer privacy. In such situations, getting it right requires coordination between managers, data scientists, and, increasingly, internal compliance. 

As teams approach critical points in development, managers need to provide explicit guidance, as well as more general frameworks and references for understanding the ethical decisions being made.  Without active management, firms can easily lose control of ethical policy and engage in practices inconsistent with corporate and cultural values.

In this talk Javed addresses overcoming bias and ethical risks, as well as frameworks and regulations for data science and related fields including FATE (fairness, accountability, transparency, and ethics),  Weapons of Math Destruction, and GDPR. Using detailed case studies, it will help you recognize the ethical impact of data projects, identify latent risks, and address issues using appropriate frameworks.

Business leaders who view this workshop will be able to:

  • - Recall and understand common data ethics frameworks
  • - Recognize ethical impacts of data projects in real business applications
  • - Apply data ethics frameworks to business decisions


Similar Posts

business resource
New Burtch Works Report Available Now: Salaries in Data Science & Predictive Analytics

By Metis • August 25, 2020

In Burtch Works' annual report, Salaries of Data Scientists & Predictive Analytics Professionals 2020, get a comprehensive look at salary data, demographic information, and hiring marketing analysis for data science and predictive analytics leading up to and during the ongoing pandemic.

business resource
VIDEO: An AI4 Panel Discussion on The State of AI in Banking

By Metis • September 23, 2020

Metis Sr. Data Scientist Javed Ahmed recently took part in a panel discussion about The State of AI in Banking during an online Ai4 event. He and the other panelists talked about upskilling, challenges related to COVID-19, and more. Watch the recorded panel discussion here.

business resource
Metis Sr. Data Scientist Javed Ahmed Featured in BuiltIn Article

By Metis • September 03, 2020

In a recent article published on BuiltIn, writer Stephen Gossett interviews Metis Sr. Data Scientist Javed Ahmed about the differences between Data Scientists and Data Engineers. Javed breaks down the two distinct roles, helping readers grasp the central difference: design vs. implementation.