PUBLIC SPEAKING
& EVENTS
A selection of conference talks & keynote speeches
Conferences & Keynotes
Conferences & Keynotes
Royal College of Paediatricians (RCPCH) Annual Conference: Digital technologies and emerging harms
Royal College of Emergency Medicine (RCEM) (Belfast): Emerging health challenges in the technological era
Emerging Digital Technologies and Patient Care
Doctoral Research &
PHD Viva
UCL Queen Square Institute of Neurology, University College London, UK
Highlights from my PhD viva, detailing my research into issues of bias in Artificial Intelligence (AI) used in healthcare. My research comprised of both a sociological arm and a computational arm, in which I designed machine learning experiments for AI fairness based on insights derived from an anthropological evaluation of the roots of AI Bias in medicine. Computational methods spanned the latest ML fairness techniques, adversarial training, representational learning and causal ML approaches.
Recent conference
presentations
The Brain Conference: Machine learning in Neurology (March 2023)
Title of Talk: “When brain implants go wrong: the cybersecurity of implanted and interconnected medical technologies”.
An international conference focused on Machine Learning Neurology. 15 minute joint talk with Associate Professor Mandalari.
Latest lectures & educational Seminars
Medical Unit Meeting (MUM), Homerton Hospital NHS Foundation Trust, North London
Medical Unit Meetings (MUM) are a hospital-wide event for healthcare professional staff to attend and learn about important topics in clinical practice. As part of an initiative to educate practitioners on patient presentations related to technology, I gave the MUM talk at the Homerton Hospital in January 2023. The topic covered the topics of technology-facilitated abuse, Artificial Intelligence (AI) and the cybersecurity of medical technologies.
Talks, Workshops and Public Engagement
Selected International and National Talks
"Small choices, global repercussions: a tabletop exercise about decision-making in healthcare cybersecurity", Workshop Leader, DEFCON Tabletop on Healthcare Cybersecurity & AI, Las Vegas, USA, August 2024
Developed and co-led this international workshop at the Biohacking Village at DEFCON. Trained participants to respond to healthcare cybersecurity attacks, with representation from the government, industry, and academic centres.
"Safeguarding patients from technology-facilitated violence and abuse: International and humanitarian challenges", Invited Speaker, United Nations (UNFPA), New York/Hybrid, July 2023Presented to a global audience of 250 attendees from across Asia, Africa, Europe, and Latin America as part of the UNFPA Technical Division webinar series.
"Examining the risks of AI-Enhanced Harms, AI Jailbreaks & Tech-Abuse in Clinical Settings", Invited Speaker, Refuge Summit UK, London, UK, September 2024Presented research on AI-human harm, LLM jailbreaks, and healthcare AI risks in the context of tech-abuse, domestic violence, and MedJacking.
"Tech back your bits", Workshop Leader, London Vagina Museum, London, UK, July 2024
Led this pioneering cybersecurity workshop demonstrating vulnerabilities in medical IoT devices through hands-on hacking. Interactive stations covered biohacking, medjacking, AI bias, and FemTech security. Collaborative event between bleepDigital and the London Vagina Museum.
"You give me fever, fever all through the night: Hack attacks against wireless medical devices and the virtual patient", Workshop Leader, May Contain Hackers (MCH), Netherlands, July 2022
Opening talk at MCH Hackathon followed by a workshop with 30 researchers exploring vulnerabilities in TENS machines, glucose sensors, and heart rate monitors.
"Can't get you out of my head: Telemetric hacking of medical deep brain stimulators", Workshop Leader, May Contain Hackers (MCH), Netherlands, July 2022
Second workshop focusing on the security risks of Deep Brain Stimulators at MCH Hackathon followed by a workshop with 30 researchers exploring vulnerabilities in TENS machines, glucose sensors, and heart rate monitors.
"Addressing Bias in Cardiological Artificial Intelligence: An Evaluation of Performance Disparities in Medical Machine Learning for Heart Failure" Oral Presentation, National AI CDT Conference, Milton Keynes, UK, May 2022
Received the Best Research Poster Prize at the UK Joint Centers for Doctoral Training (CDT) Conference.
“Evaluating bias in healthcare Artificial Intelligence (AI)”. Algorithms For Her? 2. 23rd and 24th March 2023. Millennium Gallery, Sheffield, UK.
“The Clinical Manifestations of Technological Failures”. CyberMed Summit (18/11/2022). Medical Education and Telemedicine, University of California San Diego, USA.
Expert panel member on Artificial Intelligence, plus presentation on “Emerging Health Challenges in the Technological Era”. Royal College of Emergency Medicine (October 2022). Belfast. Expert speaker and presenter.
“All information should be free (except for the brain data you wanted to keep inside your head - The Cybersecurity of Deep Brain Stimulators”. DEFCON Homecoming (2022). Speaker and Catalyst Lab, Biohacking Village.
“Don’t believe it… when you see it: Gender, tech-abuse and deepfakes”. (08/08/2022). Opening talk at the Science Fiction Cinema, Castle Cinema, Hackney, London.
“When Deep Brain Stimulators Go Wrong: Managing Neurotechnological Crises in Emergency Settings”. I Straw, C Ashworth, N Radford. Royal College of Emergency Medicine: National Case Study day. (09/06/2022).
“Addressing Bias in Cardiological Artificial Intelligence: An Evaluation of Performance Disparities in Medical Machine Learning for Heart Failure”. I Straw, G Rees, P Nachev. Joint Center for Doctoral Training (CDT) in Artificial Intelligence in Healthcare, Milton Keynes (May 2022).
“Surveillance, GPS Trackers and Smart Devices: Tech-abuse in clinical environments”, I Straw, European Emergency Medical Services Congress. Glasgow Scotland, (May 2022).
“Artificial Intelligence and Public Health in the 21st Century” (May 2022). Keynote speaker at United Against Inequities in Disease (UAID) Conference: Health Equity - Investing in Community Health. Washington DC, USA/Hybrid.
“Cyberflashing, trolls and deepfakes in the emergency department: The importance of digital safeguarding”, Oral presentation, Royal Society of Medicine, Emergency physicians responses to major incidents (Sept 2021).
"AI in Healthcare: Development to Deployment". Expert Speaker on AI Panel. Royal Society of Medicine: Digital l Health conference. Feb 2021.
“Adolescent mental illness and the widening gap between rich and poor”. Oral Presentation, Royal College of Pediatricians & Child Health (RCPCH), London. National Annual Conference. May 2019.
Regional and Departmental
“When brain implants go wrong: the cybersecurity of implanted and interconnected medical technologies”. The Brain Conference 2023. An international conference focused on Machine Learning Neurology. 15 minute joint talk with Associate Professor Mandalari.
"Will digital technology reduce or exacerbate health inequalities?". UCL Medical School Society and Leadership Debate Club. University College London, UK. 25th January 2023. Panelist & 20minute introductory presentation.
"The patient with a malfunctioning deep brain stimulator: Exploring the implications of medical cybersecurity and the 'Internet of Medical Things (IoMT)" in patient care”. January 2023. Homerton University Hospital, Medical Unit Meeting
“Hacked devices, faulty implants and cyberattacks: Examining medical Artificial Intelligence (AI) and cybersecurity through the lens of patient care”. Whittington Hospital, London. 21st December 2022. North East Thames Regional Academic Group (NETRAG), Senior Registrar Emergency Medicine Training Day.
“When brain implants go wrong: The cybersecurity of implanted and interconnected medical technologies”. 8th December 2022. UCL Information Security, Seminar Series. London, UK.
“When Deep Brain Stimulators (DBS) go wrong: The cybersecurity of medical devices and the ‘Internet of Medical Things’ (IoMT)”. 1st December 2022. Institute of Health Informatics, University College London, London.
“Ethical Model Calibration: Towards A Quantitative Ethics Of Equity In Healthcare”. November 2022. UKRI CDTs in Foundational AI & AI-Enabled Healthcare Systems Showcase, University College London, London.
“Bias in the blood: Investigating the equitability of machine learning algorithms built from biochemical datasets” (March 2022). Institute of Health Informatics, University College London.
“A supervised machine learning approach to identifying COVID-19 Variants from Google Search Data” - UCL Early Researches in Healthcare Engineering Symposium, October 2021, Flashtalk oral presentation
“Artificial Intelligence (Natural Language Processing) in population mental health: opportunities, challenges and implications for the future.” Poster Presentation. College of Physicians, Philadelphia (2020).
“An International Insight: Adolescent mental illness in the United Kingdom”. Poster Presentation, Health Equity Conference, University of Pennsylvania (USA). May 2019.