A health-tech company exploring ethical AI

Developing mental health technology that balances scale with responsibility

The context

A health-tech startup is building an AI chatbot for mental health support. While the technology scales quickly, questions about trust, privacy, and clinical responsibility remain unresolved.

The challenge

The team needs to look beyond MVP compliance. Regulatory uncertainty, patient expectations, and ethical concerns make it hard to anticipate unintended consequences before they become real.

How LIFT supports the process

• Surfaces early warnings: LIFT scans signals from clinical research, patient forums, policy debates, and media narratives, bringing weak signals of risk into view before they escalate.
• Frames ethical scenarios: Teams can test “what if” questions — e.g. What if insurers demand disclosure of chatbot transcripts? — and explore how different futures could play out.
• Links choices to consequences: LIFT shows how today’s development decisions connect to long-term trust, adoption, and social responsibility, so leaders can judge the trade-offs themselves.

The outcome

The company doesn’t get answers from LIFT. Instead, it gains the clarity to see blind spots early, understand the ethical stakes, and make better-informed product decisions that balance innovation with responsibility.