Company: SLDE
Filing Date: 2025-05-23
Form Type: S-1
Source: 0001193125-25-125836
Chunk: 70

Company: Slide Insurance Holdings, Inc.
Filing Date: 2025-05-23
Form: S-1
Chunk 70
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, consumer protection, competition, equal protection and equal opportunity laws.
Regulation of artificial intelligence and machine learning is complex and rapidly evolving worldwide as legislators, regulators, including the Securities and Exchange Commission (the “SEC”) and the FTC and consumer advocacy groups are
increasingly focusing on these powerful emerging technologies. The laws and regulations applicable to our business and artificial intelligence are complex and subject to varying interpretations, with limited regulatory guidance at this time. It is
not possible to predict all of the risks related to the use of artificial intelligence, and changes in laws, rules, directives and regulations governing artificial intelligence may adversely affect our ability to develop and use artificial
intelligence or subject us to legal liability. Moreover, any changes in laws, regulations, orders and industry standards governing the use of artificial intelligence may be costly or impossible to comply with, and may result in claims, disputes,
litigation or costs associated with any compliance failure or redesign of our platform or services to comply with such regulations.

There
are significant risks involved in utilizing such tools, such as an increase in intellectual property infringement or misappropriation, data privacy, cybersecurity, operational and technological risks, harmful content, accuracy, bias, toxicity and
discrimination, any of which could affect our further development, adoption and use of artificial intelligence, and may cause us to incur additional research and development costs to resolve such issues. No assurance can be provided that the usage
of such tools will enhance our business or assist our business in being more efficient, or better at assessing insuring risk or profitability. Artificial intelligence tools may also have errors or inadequacies that are not easily detectable. For
example, certain artificial intelligence tools may utilize historical performance, historical market or sector data in their analytics. To the extent that such historical data is not indicative of current or future conditions in the applicable
market or sector, or such artificial intelligence fails to filter biases in the underlying data or collection methods, the usage of such tools may lead us to make determinations on behalf of our business that have an adverse effect. If artificial
intelligence tools are

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incorrectly designed, or the data used to train them is incomplete, inadequate or biased in some way, our use of such tools may inadvertently reduce our efficiency or cause unintentional or
unexpected outputs that are incorrect, do not match our business goals, do not comply with our policies or interfere with the performance of our services or platform, our business and our reputation. Additionally, our reliance on artificial
intelligence and similar tools could pose ethical concerns