Applying the Digital Principles to AI Regulations and Responsibilities
As technology and digital tools become more commonplace in every aspect of our lives and work, we have seen a surge of interest and use in machine learning and artificial intelligence. These tools already have a profound impact in the field of international development – from interactive maps, data-driven predictions, smart cities to more, this is just the beginning. There is tremendous potential to achieve the sustainable development goals at an accelerated rate, but this introduces significant risks and concerns. Privacy and security, machine bias, and lack of inclusivity are issues that are often flagged, but who is ultimately responsible in finding solutions and preventing these ethical concerns? What are practical steps implementers and partners can take to confirm AI solutions are best suited for their programming needs? This webinar will break down the various players that touch the system and the ethical implications and consequences of not having preventative measures in place. We will also discuss how AI systems change and in turn, how it changes the environment it operates in.
Objectives of the Webinar
- Explore different ways in which AI and Machine Learning is being used to reshape international development work
- Discuss tangible benefits of AI and concrete steps practitioners can take to ensure that its application is inclusive, and fair
- Understand and how to establish the layers of responsibility when using AI systems in international development initiatives
- Discuss best practices and concrete steps around how to properly and securely monitor systems; how to systems change and in turn, how do systems change the environment around it?
- Marwa Azelmat, Policy Advocacy Coordinator at Association for Progressive Communications (APC)
- Carlos Mazariegos, Head of Exploration at UNDP Accelerator Labs