Diverse data, ethical use key to responsible AI engineering

The lack of diversity in AI systems has been an issue since the birth of the technology. In this episode of the Targeting AI podcast from Informa TechTarget, Karen Panetta discusses the importance of diversity in tech, and the ethical implications of AI. She emphasizes the need for inclusive design in engineering and AI systems, the role of digital twins in education, and the challenges of AI bias.

Featuring: Karen Panetta, an IEEE fellow and dean of graduate engineering education at Tufts University

In today's episode, we cover these topics:

• AI should focus on solving real-world problems rather than being applied indiscriminately.
• Ethical AI must prioritize the principle of “do no harm” to individuals and communities.
• AI bias can lead to significant real-world consequences, especially in healthcare and hiring.

and more.

To learn more about AI and the importance of diversity in AI systems, check out SearchEnterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Generative AI will force diversity in AI systems
• Federal report focuses on AI diversity and ethics
• Diversity in hiring a key to eradicating AI bias