AI Regulation in the Era of Data-Driven Artificial Intelligence
Generative AI is becoming a top business and technology strategy for many enterprises, according to recent reports. However, this shift towards AI adoption comes with a host of concerns and challenges that IT and business leaders must address to ensure the safe and effective implementation of AI technologies.
Data Transparency and Bias
Transparency in data sources is a significant concern for 21% of respondents in a recent survey. The risks of inaccurate or biased data can have far-reaching consequences, potentially leading to harmful outcomes. To mitigate these risks, IT and business leaders should invest in data governance courses and educate employees on how to properly and safely use AI technologies.
Risks and Concerns
The top three risks of generative AI, according to KPMG executives, are cybersecurity, privacy concerns with personal data, and liability. Furthermore, 64% of IT leaders surveyed by Salesforce are concerned about the ethics of generative AI. Violation of privacy and security is the top concern for corporate AI use, with 28% of respondents citing it as their primary worry.
Adoption and Strategy
In 2023, many companies implemented special working groups or task forces to develop and implement strategies for using generative AI. According to the 2023 Unstructured Data Management Report by the author's company, 90% of enterprises allow some level of AI adoption by employees. By then, 45% of surveyed companies were already using AI, and 80% of those employing generative AI.
Protecting Against Risks
Forty percent of IT leaders plan to use a multi-pronged approach, including storage, data management, and security tools, to protect against generative AI risks. Consideration should be given to the data management implications of using unstructured data in AI tools, including security, privacy, lineage, ownership, and governance (SPLOG).
Training and Education
Despite a growing demand for AI skills, only 13% of workers have received any AI training from their employers in the last year. To address this gap, IT leaders should prioritize AI training and education for their employees.
Legal Considerations
There have been lawsuits by artists and writers concerning the use of their works in training models. This highlights the importance of clear and transparent usage policies, as well as the need for companies to respect intellectual property rights.
In conclusion, while generative AI offers numerous opportunities for businesses, it also presents a series of challenges and risks. By investing in education, data governance, and robust security measures, IT and business leaders can navigate these challenges and harness the potential of generative AI to drive innovation and growth.
