“Unraveling the Legal Labyrinth: Can AI Revolutionize Pharma Without Copyright Catastrophes?”
Navigating Copyright Compliance: Four Tips From Experts
Experts shared the following advice for organizations to navigate the evolving copyright and AI regulation complexity.
- Know copyright rules for your data and data sources: Will FitzHugh, senior consultant at bPrescient, says, “It’s important for organizations to use appropriately licensed AI models and data sources.” King said examples of data in pharma that might present copyright challenges include literature and patent data, published research papers, conference proceedings, and post-market surveillance data. In clinical research, his examples include electronic health records, imaging libraries, clinical trial results, and real-world evidence.
- Invest in expertise: FitzHugh also notes the importance of consulting with legal teams throughout AI model development and deployment. He says, “Good practices should include making sure that data used for training is not restricted in its use, that the base model is properly licensed.”
- Establish strong governance frameworks: McSpiritt notes the importance of mitigating risk via governance frameworks and auditing source datasets and models. He says these should be added on top of current processes organizations already have for legal and copyright issues.
- Secure and test AI models: FitzHugh argues fine-tuning of all AI models should be conducted in secure local or cloud environments. Rigorous testing helps to validate outputs, assess model performance, and ensure credibility.
Driving Innovation Through Responsible AI
AI and copyright compliance are complex, evolving challenges that require cross-disciplinary collaboration between data scientists, pharma and clinical experts, as well as regulatory and legal specialists. To ensure researchers can responsibly and effectively leverage AI, the industry must work together to develop best practice guides, harmonize data standards, and invest in training around copyright compliance. Those interested in navigating regulatory uncertainty, reducing copyright risk, and unlocking AI’s full potential are invited to join the Pistoia Alliance’s AI Community.
