Company: GEHC
Filing Date: 2025-02-13
Form Type: 10-K
Source: 0001932393-25-000005
Chunk: 37

Company: GE HealthCare Technologies Inc.
Filing Date: 2025-02-13
Form: 10-K
Item: Item 1A
Chunk 37
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, particularly in relation to obtaining, using, storing, and transferring personal data. Our software solutions must be compliant with applicable regulations in the country in question before we can launch our offerings. In some jurisdictions, we must obtain marketing authorizations before commercializing software solutions. Such regulatory compliance may take longer or cost more than expected or require that design changes be incorporated into our offerings. In addition, changes to reimbursement policies for digital healthcare offerings could potentially lead to delays and additional expense. The inability of customers to obtain adequate reimbursement from private and governmental third-party payers could adversely affect purchasing decisions and prices and cause our revenue and profitability to suffer. 

Additionally, we are making significant investments in AI initiatives and are building AI into many of our digital offerings. We are planning to leverage generative AI such as large language models across our portfolios to build differentiated products and solutions and deploy those solutions through various modalities for our customers, including on the device, via edge computing or data centers, and/or via the cloud. Using AI in this manner presents risks and challenges that could affect its adoption, acceptance, and effectiveness, including flawed AI algorithms; insufficient, overbroad, or biased datasets; unauthorized access to personal data; lack of acceptance from our customers; or failure to deliver positive outcomes. As we seek to build clinical applications that leverage generative AI models built by third parties, we may have limited rights to access the underlying intellectual property used to create the generative AI model, and, if requested, this may limit or impair our ability to independently verify the explainability, transparency, and reliability of the underlying model. The use of AI in healthcare offerings also poses certain clinical risks resulting from potential misdiagnosis or misinformation provided from AI applications, diminishing critical judgment, or loss of interpersonal care from clinicians. These deficiencies could undermine the decisions, predictions, or analysis AI applications produce, as well as their adoption, subjecting us to competitive harm; legal liability, including under new legislation regulating AI in jurisdictions such as the EU or new applications of existing data protection, privacy, IP, and other laws; regulatory actions; and reputational harm. Additionally, our obligations to comply with the evolving legal and regulatory landscape could entail significant costs or limit our ability to incorporate certain AI capabilities into our offerings. In addition, some AI scenarios present ethical, privacy, or other social issues, risking reputational harm and/or reduced market demand or acceptance of AI solutions. The safeguards we have designed to promote the ethical implementation of AI may not be sufficient to protect us against negative outcomes. Furthermore,