We have begun and may continue to use artificial intelligence and machine learning (collectively, “AI”) tools in our operations. We use AI in assessing marketing decisions and operating our stores. However, there can be no assurance that we will realize the desired or…
Read full text
We have begun and may continue to use artificial intelligence and machine learning (collectively, “AI”) tools in our operations. We use AI in assessing marketing decisions and operating our stores. However, there can be no assurance that we will realize the desired or anticipated benefits, or any benefits, and we may fail to properly implement such technology. While AI tools may facilitate optimization and operational efficiencies, they also have the potential for inaccuracy, bias, infringement or misappropriation of intellectual property. The use of AI tools may introduce errors or inadequacies that are not easily detectable, including deficiencies, inaccuracies, or biases in the data used for AI training, or in the content, analyses, or recommendations generated by AI applications. Additionally, if our peers use AI tools to optimize operations and we fail to utilize AI tools in a comparable manner, we may be competitively disadvantaged. New laws and regulations are being adopted, and existing laws and regulations may be interpreted, in ways that could affect our business operations and the way in which we use AI. Our ongoing efforts to comply with privacy and data protection laws, as well as initiatives to comply with new legal regulations relating to privacy, data protection and AI, impose significant costs and challenges that are likely to increase over time. Additionally, this complex and rapidly evolving landscape around AI may expose us to claims, inquiries, demands and proceedings by private parties and global regulatory authorities and subject us to legal liability as well as reputational harm. Uncertainty around the safety and security of new and emerging AI applications may require additional investment in the development of proprietary datasets, machine learning models and systems to test for security, accuracy, bias and other variables, which are often complex, may be costly and could impact our operating results. Cybersecurity threat actors may also utilize AI tools to automate and enhance cybersecurity attacks against us and could lead to data breaches, loss of confidential or sensitive information, and financial or reputational harm. These outcomes could impair our ability to compete effectively, damage our reputation, result in the loss of valuable property or information and adversely affect our business, financial condition, and results of operations.