Read the following articles:
Generative AI Has an Intellectual Property Problem
A Comprehensive Guide to Responsible AI
Answer the following questions:
What are some important Generative AI's ethical issues (choose one or two)?
How do such issues impact businesses?
What should be a company's strategy to handle such Generative AI's ethical issues?
Ethical Issues:
As Generative AI becomes ever more present in our daily lives, one can’t help but wonder
where all that data and information come from. The reality is that Generative AI is dependent
on and constructed from billions of images and text snippets stored in massive data lakes on
servers worldwide. This vast sea of data records is derived from previously constructed images,
data records, and textual content. Privacy and data security are significant ethical issues as
these systems process billions of data records that may contain sensitive, personally identifiable
information (PII).
Impact on Businesses:
Businesses shall employ the necessary risk management practices to ensure their data
protection and security protocols, both internal and external, remain sufficiently fortified.
Prudent encryption of confidential and sensitive datasets will thwart any unauthorized use and
help protect the company from legal liabilities and damage to the company’s revenue and
brand.
The company shall communicate data governance policies to all employees and customers to
avoid these liabilities. Furthermore, implementing fortified data security measures from
unauthorized use and data scraping by the AI models constantly scouring every nook and cranny
of the World Wide Web.
Strategy for handling Generative AI ethical issues:
Generative AI is here to stay and will become ever more present in everything we do online,
from work to school to pleasure. The rapid spread of Generative AI use warrants a heightened
awareness of technology ethics. Organizations recognize the derivative nature of this tool;
therefore, they shall adequately design and adopt ethical tech principles and values.
Emerging Technologies will continue to build upon cloud platforms and generative AI, where
data is housed and utilized to conduct business. Developing trustworthy and succinctly tailored
ethical principles will help mitigate reputational damage and reinforce trust in employees and
key stakeholders.
This is a two-pronged approach as it is imperative and prudent to:
-
Ensure the company’s intellectual property and sensitive records remain protected by
implementing solid data governance and risk management processes.
Define the use of responsible AI by the company’s employees to avoid the use of
unlicensed content without express written permission from content owners and
creators.
Conclusion:
“Fail to plan, Plan to Fail” is an adage that aptly applies to the use of Generative AI in the
competitive landscape of business today. Ethical missteps can damage both the customer and
the company. Therefore, companies must adequately prepare today for a better tomorrow.
Generative AI use has the potential to vastly improve company performance, although it does
not come without inherent risks. Companies shall remain steadfast on safe and secure
information sets that protect against adverse customer effects.