Magdalena

Biography:

Magdalena Wywijas is a highly motivated engineer with deep expertise in thin-film and surface technologies, 2D and nanomaterials, and light-detector systems. She has extensive experience in vacuum deposition, process engineering, and a solid grounding in coating, printing, drying, and formulation techniques, alongside practical knowledge of particle-measurement methods. Her work focuses on process development and the successful scale-up of technologies into manufacturing. 

She is currently a Photomultiplier Development Engineer at ET Enterprises in Uxbridge, where she leads the automation and advancement of photocathode deposition processes and drives continuous process improvement.

Iman

Biography:

Iman El-Dessouki is a Distinguished Senior Technology Leader in Vodafone UK, with over 20 years of experience shaping enterprise-scale technical direction, accelerating digital transformation, and influencing organizational strategy through deep engineering credibility. Her career spans the full software lifecycle from development and testing to architecture and applied research, driving systemic platform transformation across complex, large-scale environments in the UK and internationally. She holds a degree in Telecommunication Fraud Detection using AI techniques. Beyond delivery, Iman strengthens engineering culture and the future talent pipeline. As a Leader within IEEE Women in Engineering, she has led programs engaging more than 6,000 researchers and students, increasing female participation in engineering degrees. Her contributions have been recognized with the IEEE WIE UKI Inspirational Volunteer Award.

Sadie

Sadie is the Vice-Chair of the IET Manufacturing Technical Network. She brings her unique perspective of manufacturing for precision measurement to the panel discussion.

Biography:

Sadie is a chartered Engineering Manager with over 10 years industry experience. She works in manufacturing for precision measurement company Renishaw with a team of ~50 technical staff. She has volunteered with the IET for 8 years and is currently the Vice Chair of the IET’s Manufacturing Technical and a Judge on the Apprentice and Technician Award Panel.

Ali

This lecture will cover the latest research outcomes by a global Community of AI Practitioners (AI CoP) on the necessity and structural features for a Charter addressing Human-AI Socialisation. Artificial intelligence systems can be classified along a spectrum of autonomy and generality. On one end are narrow AI systems that provide specific outputs based on bounded inputs, operating as tools to augment human intelligence. On the other end is artificial general intelligence (AGI) and artificial super intelligence (ASI)–AI systems that can match or exceed human-level performance across a wide range of cognitive tasks. 

The main focus of the talk is on the Autonomous Decision Making and Algorithmic Learning Systems and outcome of latest research at the AI Community of Practice on a foundational Charter that will underpin a Responsible Human-AI Socialisation and Governance. 

Biography:

Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK.  He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and mission-critical industrial applications.

Ali represents the UK on European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware, software and cybersecurity standards committees. In 2017 he was appointed as the chair of the IEEE landmark IEEE7000 standard focused on “Addressing Ethical Concerns in System Design” that was published in 2021. In November 2018, he was appointed as the Vice Chair and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS) developing six suites of AI Ethics Criteria and associated assessment, certification, training and expert accreditation system under IEEE, CertifAIEd brand.

Ali is the founder and chair of AI Community of Practice (CoP), a global group of altruistic experts with diverse insights and expertise in AI technologies. The CoP conducts exploratory research and publishes outcomes under the Creative Commons License aimed at regulators, public and private enterprises, governments and for the benefit of humanity.

Ali is a visiting professor at London City University and Beijing Jiaotong University school of informatics. He’s a Fellow of UK-IET and RSA and Senior Life Member of IEEE.

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