Can I Trust This? Responsible AI for Life Sciences, Pharma & Health Comms
Healthcare, pharma, biotech, and medical device professionals are already using generative AI tools. However, in regulated life science and health sectors, a single hallucinated reference, tone bias, or data governance oversight can disrupt compliance and messaging integrity.
This interactive 90-minute practical session is designed specifically for professionals across pharmaceuticals, biotech, medical devices, healthcare, science, and medical communications.
We cut through the hype to focus on grounded, responsible, day-to-day AI usage: how to write compliant prompts, catch subtle hallucinations, and verify outputs without tripling your workload.
What We Will Cover
The "Paid = Secure" Misconception: What actually happens to data entered into standard commercial tools, where information governance risks sit, and how to protect proprietary science and patient data.
Spotting Sycophancy & Tone Bias: Why AI models tend to agree with leading prompts, soften critical risk language, and default to overly reassuring registers in health and medical contexts.
Practical Verification Routines: Systematic steps to audit AI-generated content, catch fabricated citations, and verify claims before assets reach patients, clinicians, or regulatory bodies.
Prompting for Accountability & Compliance: How to structure inputs so AI displays its reasoning, cites verifiable sources, and stays within strict regulatory guardrails.
Real-World Case Studies & Efficiency: Practical examples of AI workflows across pharma marketing and health communications.
Interactive Q&A: Direct, small-group discussion to address the exact operational friction points your team is experiencing right now.
Who Should Attend
This session is tailored for members of the Pharmaceutical and Medical Network, including:
Pharma, Biotech, and MedTech Marketing & Brand Leads
Medical Communications & Public Relations Specialists
Clinical & Regulatory Affairs Managers
Health Charity & NHS Communications Leaders
Life Sciences & Scientific Content Strategy Professionals
What Attendees Say
"I can't believe how practical this was. I paid for a different session just last week, and it wasn't even close to as relevant or actionable as this one. It takes all our worries about bias, inaccuracy, and governance and translates them into something workable."
— Chief Nursing Information Officer, NHS
Capacity
Places are strictly limited to 25 attendees to keep the conversation small, interactive, and relevant. There is a wait list going, so please use it — it will help me plan future sessions.
About the host
Nidhi Parekh is the founder of Something Tomorrows, an independent AI consultancy focused on regulated sectors. With a professional background in both law and biomedicine, she has previously undertaken work in content, marketing and comms. She has experience working with pharma companies like Pfizer, Moderna, J&J, Abbott, and many marketing agencies in the UK. She now specifically delivers practical and responsible AI training and adoption for regulated industries.