Mandatory AI Literacy: Transforming Life Sciences in the EU

AI Literacy Becomes Mandatory for Life Sciences Across the EU

The recent implementation of the EU Artificial Intelligence (AI) Act, which became law on 1 August 2024, has set in motion a series of regulatory deadlines that will significantly transform the life sciences sector. As the enforcement date for AI literacy approaches, organizations must prioritize the acquisition of knowledge and understanding of AI technologies.

Strategic Window for Implementation

Starting from 2 February 2025, the first major provision under the AI Act mandates that all individuals involved in the deployment and provision of high-risk AI technologies must develop specific competencies in AI. This requirement will impact pharmaceutical, biotech, and medtech firms, as well as diagnostics businesses. These organizations must navigate a complex regulatory environment that intertwines AI and medical device frameworks.

Phased Implementation Approach

Although the AI literacy obligations are now in effect, the governance provisions will not fully come into play until 2 August 2025. This phased approach is designed to ease the compliance burden on companies while they prepare for these upcoming regulations. Furthermore, relevant penalties associated with non-compliance will also take effect on the same date, providing an interim period for organizations to develop comprehensive AI literacy programs.

Defining AI Literacy

The AI Act defines AI literacy as the skills, knowledge, and understanding essential for making informed decisions regarding the deployment of AI systems. This includes recognizing both the opportunities and risks associated with AI technologies. Notably, AI literacy is not solely for those directly interacting with AI but extends to all stakeholders, including patients and end users.

Importance of Comprehensive Literacy Strategies

To achieve adequate AI literacy, a comprehensive strategy is necessary. Education plays a pivotal role in ensuring that staff and external contractors possess the requisite knowledge to operate AI systems effectively. This encompasses understanding the mechanics of AI, recognizing associated risks, and handling sensitive data responsibly.

Life sciences organizations must identify the most relevant aspects of AI literacy for their operations, considering the specific job requirements and the variety of AI systems employed. For high-risk AI systems, additional training and clear documentation of compliance measures are paramount.

Conclusion

The AI literacy obligations introduced by the EU AI Act represent a significant shift for life sciences organizations. With the first mandatory deadline approaching on 2 February 2025, companies must act swiftly to implement training programs, document compliance efforts, and establish voluntary codes of conduct. By doing so, organizations can mitigate risks, foster innovation, and enhance efficiency in preparation for the regulatory landscape ahead.

More Insights

US Rejects UN’s Call for Global AI Governance Framework

U.S. officials rejected the establishment of a global AI governance framework at the United Nations General Assembly, despite broad support from many nations, including China. Michael Kratsios of the...

Agentic AI: Managing the Risks of Autonomous Systems

As companies increasingly adopt agentic AI systems for autonomous decision-making, they face the emerging challenge of agentic AI sprawl, which can lead to security vulnerabilities and operational...

AI as a New Opinion Gatekeeper: Addressing Hidden Biases

As large language models (LLMs) become increasingly integrated into sectors like healthcare and finance, a new study highlights the potential for subtle biases in AI systems to distort public...

AI Accountability: A New Era of Regulation and Compliance

The burgeoning world of Artificial Intelligence (AI) is at a critical juncture as regulatory actions signal a new era of accountability and ethical deployment. Recent events highlight the shift...

Choosing Effective AI Governance Tools for Safer Adoption

As generative AI continues to evolve, so do the associated risks, making AI governance tools essential for managing these challenges. This initiative, in collaboration with Tokio Marine Group, aims to...

UN Initiatives for Trustworthy AI Governance

The United Nations is working to influence global policy on artificial intelligence by establishing an expert panel to develop standards for "safe, secure and trustworthy" AI. This initiative aims to...

Data-Driven Governance: Shaping AI Regulation in Singapore

The conversation between Thomas Roehm from SAS and Frankie Phua from United Overseas Bank at the SAS Innovate On Tour in Singapore explores how data-driven regulation can effectively govern rapidly...

Preparing SMEs for EU AI Compliance Challenges

Small and medium-sized enterprises (SMEs) must navigate the complexities of the EU AI Act, which categorizes many AI applications as "high-risk" and imposes strict compliance requirements. To adapt...

Draft Guidance on Reporting Serious Incidents Under the EU AI Act

On September 26, 2025, the European Commission published draft guidance on serious incident reporting requirements for high-risk AI systems under the EU AI Act. Organizations developing or deploying...