How to Operationalize Ethics in Data and AI
How to Operationalize Ethics in Data and AI

Abstract: 

AI ethics does not come in a box. Given the varying values of companies across dozens of industries, a data and AI ethics program must be tailored to the specific business and regulatory needs that are relevant to the company In her talk, Angela will walk through 4 pillars of how to execute Ethical AI for your organization from governance, design, monitoring and education perspectives. In the era of a rapidly evolving digital world, it is imperative to govern with the right strategy for Enterprise AI. Also, it is fundamental to have the right metrics underpinned by ART principles - Accountability, Responsibility, and Transparency and build organization awareness and on-going education on Ethical AI.

Session Outline:
1. Governance with the right Strategy for Enterprise AI Establish Ethical & Responsible AI governance and end-to-end internal policies to mitigate bias. Data and AI ethics must systematically and exhaustively identify ethical risks throughout the organization, from IT to HR to marketing to product and beyond. The AI Framework helps organizations build trust in their technology performance by transparently and effectively governing algorithms
2. Design with Ethical AI aspiration and end goal in mind Identify existing infrastructure that a data and AI ethics program can leverage. Looking at the overall governance and management framework for an AI and map it back to the corporate policies and guidelines from a risk perspective
3. Monitor by ART principle - Accountability, Responsibility, and Transparency Transparent risk management dashboard Allows the user visibility into the various metrics related to the trust imperatives.
4. Build organizational awareness and on-going education Design and set up criteria to maintain continuous control over algorithms without stifling innovation and flexibility.

Bio: 

Angela is an AI Professional specialised in Ethics, Explainability, Diversity & Inclusion in AI and recipient of Top 10 Analytics Leaders 2020 From Institute of Analytics Professional Australia and also sits on the Founding Editorial Board of Springer's new & timely AI and Ethics Journal.
Angela has been working with Insurance Australia Group, Macquarie Group, Microsoft and Salesforce to provide AI outreach programs for high schools and also Technology Literacy programs for USYD, UNSW, UTS and Macquarie University Business female students for 100 Girls 100 Futures Workshop.
In 2018, Angela and her team won the Data Science & AI National Industry Innovation Awards for “Best Industry Application of AI for AI & Data driven Underwriting Engine” through a collaborative ANZ Wealth (Zurich Insurance) & University of Technology of Sydney project. Angela works with STEM class in high school, Women in Business in major universities in Sydney and Women in technology at Macquarie Group to promote Diversity and Inclusion in technology and Ethics, Fairness and Responsibility in AI.