UPCOMING WEBINAR
AI ETHICS: HOW CAN SOCIAL RESPONSIBILITY BE IMPLEMENTED IN AUTONOMOUS INTELLIGENT SYSTEMS?
WEDNESDAY, 16 NOVEMBER 2022
8:00 AM - 9:00 AM EDT (2:00 PM - 3:00 PM CET)
AI is now an intrinsic part of solution development and has the potential to bring risks and exposures that need to be addressed in order to generate the trust needed for market adoption.
IEEE AI Ethics criteria address many socio-technical ethical aspects of the development and deployment of autonomous intelligent systems (AIS), and the IEEE CertifAIEdTM Mark provides AIS providers with the visibility that demonstrates their commitment to safeguarding transparency, accountability, algorithmic bias, and privacy towards more trustworthy AI.
In this webinar, you will hear about the context and value of AI Ethics certification, the challenges surrounding its implementation, and how IEEE CertifAIEd addresses them through its comprehensive suite of ethical criteria, and the thorough and carefully considered methodology that takes into account the distinct context and risk impacts of a specific autonomous intelligent system.
This webinar is being organized in collaboration with the CLAIRE Office Switzerland.
YOU WILL LEARN ABOUT
- IEEE’s role in advancing technology for humanity
- The IEEE CertifAIED program and how to get engaged
- IEEE CertifAIEd Ontological Specifications for Ethical Privacy, Algorithmic Bias, Transparency, and Accountability
- How to get engaged
SPEAKERS
Ricardo Chavarriaga, PhD, Head of the Swiss Office Confederation of Laboratories for AI Research in Europe (CLAIRE)
Dr. Chavarriaga is a neuroscientist and engineer in electronics passionate about responsible development and societal implications of technology. His work is focused on fostering research and innovation in emerging technologies towards the benefit of society. He is a senior researcher at the Zurich University of Applied Sciences (ZHAW) and a Polymath fellow at the Geneva Center for Security Policy (GCSP). He also serves as chair of the IEEE Standards Association group on Neurotechnologies for Brain-Machine Interfacing, and co-chairs the IEEE P2863 Working Group on Recommended Practices for Organizational Governance of AI.
Ali Hessami, Director of R&D and Innovation, Vega Systems, London, UK
Ali is a physics and electronics engineer with a track record in risk assessment and management, knowledge and talent/competence management, and design of mission critical systems. He has experience in safety, security, and sustainability assurance in complex products and projects, developing European and Global safety/security standards and technology ethics certification including COVID-related Contact Tracing Technologies. General interests include Photography, cosmology, mysticism and culture.
Melissa Aranzamendez, Emerging Opportunities and Community Senior Manager, IEEE Standards Association
Melissa works with the IEEE CertifAIEd team to oversee IEEE's AI Ethics certification program. She has over 20 years experience in standards development, conformity assessment and program management in academic and industry. She holds a BS degree in mechanical engineering and an MFA degree in creative writing.
IEEE SA
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