What potential risks or challenges should companies be aware of when pursuing AI citations?

When pursuing AI, companies should be aware of several potential risks and challenges. These include data privacy issues, such as the risk of data theft and the need for data protection, as well as the potential for AI bias and discrimination stemming from biased training data (Business.cornell.edu, Tableau). Other challenges involve legal and regulatory uncertainties, including a challenging regulatory landscape with varying state and federal laws (Business.cornell.edu). Companies also face risks related to cybersecurity threats, the potential for job displacement through automation, and the ethical implications of AI, such as the possibility of AI being used for harm (IBM, Lakera.ai).

References

1. AI Risks: Exploring the Critical Challenges of Artificial Intelligence
2. 10 AI dangers and risks and how to manage them | IBM
3. What are the risks of artificial intelligence (AI)? - Tableau
4. Businesses Should Consider Legal Risks of Artificial Intelligence
5. Toward AI Governance: Identifying Best Practices and Potential ...
6. A I and contemporary challenges: The good, bad and the scary
7. Common ethical challenges in AI - Human Rights and Biomedicine
8. The MIT AI Risk Repository