Company: CCIXW
Filing Date: 2025-12-05
Form Type: S-4/A
Source: 0001193125-25-309933
Chunk: 148

Company: Churchill Capital Corp IX/Cayman
Filing Date: 2025-12-05
Form: S-4/A
Chunk 148
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 the use of new and evolving technologies such as artificial intelligence and machine learning may cause us to experience brand or reputational harm, competitive harm, legal liability, and new or enhanced governmental or regulatory scrutiny, and we may incur additional costs to resolve such issues. Known risks of artificial intelligence currently include inaccuracy, intellectual property infringement or misappropriation, privacy, data protection and cybersecurity issues, and data provenance disputes. Perceived or actual technical, legal, compliance, privacy, data protection, cybersecurity, ethical or other issues relating to the use of artificial intelligence may cause public confidence in artificial intelligence and machine learning technologies to be undermined, which could slow the adoption of our software. In addition, litigation or government regulation related to the use of artificial intelligence and machine learning may also adversely impact our and others’ abilities to develop and offer products that use artificial intelligence, as well as increase the cost and complexity of doing so. The use of artificial intelligence and machine learning technologies also presents emerging ethical and social issues and may draw public scrutiny or controversy and may also create or assist in producing unexpected results, flaws or errors in our software, any of which may not be easily detectable. Further, such technologies may not always operate as intended, which could lead to operational inefficiencies and risks. The rapid development of AI tools could also render obsolete certain technologies or tools we currently use, or otherwise provide competitors with a technological edge. Issues relating to our use of artificial intelligence and machine learning technologies and the evolving legal and regulatory landscape applicable to such technologies may adversely affect our reputation, business, prospects, financial condition, and results of operations.

Our customer contracts may not effectively limit our liability in the event of road or other safety incidents involving vehicles using our technology.

In the event that an autonomous vehicle on which our software was deployed experienced a crash or similar incident, our contracts with OEM partners generally apportion liability on the basis of relative fault. As such, the apportionment of liability in connection with any such safety or other incidents would need to be assessed on a

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case-by-case basis. Although our general approach to contract negotiations is to limit our liability to the extent such safety incidents are caused by or directly result from alleged flaws or errors in our technology, these provisions may not fully or effectively protect us from any or all claims under or as a result of federal, state, or local laws or ordinances, unfavorable judicial decisions in the United States or other countries, or otherwise. In addition, we may incur substantial costs to enforce such limitations