RESPONSIBLE AI: BUILDING TRUSTWORTHY SOLUTIONS. In the era of new AI advancements every week (it feels like!), ensuring that the implementation of these into your solutions is responsible and ethical is more important than ever.

In this session we explore the concept of Responsible AI and discuss the key areas of ethical implications - fairness, transparency, accountability and privacy.

From data collection and model training to deployment and ongoing monitoring, we cover the considerations needed to foster a responsible AI culture and embedding ethical principles throughout the AI lifecycle.

Gain an understanding of the importance of diverse and inclusive datasets, explainable AI techniques, and ongoing model evaluation - all things that can not only mitigate risks but also increase customer trust and long-term sustainability.

Akanksha Malik
Data Consultant and Microsoft AI MVP

Akanksha is a Data Consultant, a Microsoft AI MVP and an international speaker. After studying Financial Maths and Actuarial Science at UCC, Ireland, she realised she wanted to work with people as well as numbers. As a consultant, she works with clients to help them solve problems by making more informed decisions with data.

She is a firm believer of diversity and inclusivity. She loves machine learning, and that it is becoming more accessible to everyone. She is an avid advocate for women in STEM and is currently the network director of Women Who Code Melbourne and advisory board member for Tech Diversity Lab.

свернуть