Achieving Trustworthy, Ethical AI

Authors: Meike Hofmann, Gerald Burch and Jana Burch

Organizations must understand how to use these new large language models without creating negative societal impacts.

Author: Jagdish Mohite

Responsible AI development practices and thoughtful consideration of these challenges are necessary to maximize the benefits of AI while mitigating its potential negative consequences.

Author: Sharad Verma

Although AI can save time and effort, many users remain unaware of the potential risk to an enterprise’s sensitive data.

Author: Joshua Scarpino

With the impending adoption of regulations such as the EU AI Act, organizations must adopt holistic responsible AI programs.

Author: Shini Menon

There is a need for impactful regulations as well as a general awareness on how these regulations can positively improve the field of AI.

Author: Prithiv Roshan Sudhakar

As AI systems proliferate and gain more widespread adoption, safeguards to thwart data poisoning attacks and ensure decisions that reflect human values become more important.

Authors: Joe Cozzupoli and John Salomon

There are fundamental considerations necessary to creating a security and privacy risk management baseline for any AI implementation or deployment.

Author: Nandita Rao Narla

This growing importance of privacy in organizations has led to a shift toward more technical privacy roles, where demand for such roles exceeds talent supply.

Author: Steven Ross

Zero trust is quite supportive of digital trust; they overlap to a great extent.

Author: Cindy Baxter

Ethical AI occurs when the business, risk and compliance teams not only evaluate the business opportunity that AI brings but carefully consider its impact by sitting in the shoes of users, policymakers and financial market managers.

Author: K. Brian Kelley

Given the proliferation of AI/ML solutions, it is important to understand potential areas of concern, especially ones that affect the reputation and trustworthiness of organizations and individuals within the digital ecosystem.

Author: Ed Moyle

If your organization is exploring ways to derive business value from AI and ML, even just maintaining an awareness of the space and becoming educated about the security, assurance, risk, and governance implications is helpful.