Everyday AI Podcast – An AI and ChatGPT Podcast

EP 79: The Importance of Ethics in AI

Aug 14, 2023

Moe Alo, a Senior Sales Leader at IBM, dives into the pressing topic of ethics in AI. He emphasizes the need for responsible and optimized use of AI while addressing concerns about corporate accountability. The discussion highlights IBM's initiatives, including their AI ethics board and the importance of accessibility in generative AI tools. Alo also touches on the dangers of biased AI, the potential in education, and the necessity for individuals to understand AI's limitations. It's a call to action to prioritize ethics in this rapidly evolving landscape.

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ANECDOTE

IBM's AI History

IBM's Deep Blue defeated chess champion Garry Kasparov, marking a milestone in AI.
Watson's Jeopardy victory further showcased AI's capabilities, giving IBM decades of experience.

ADVICE

Using AI Ethically

Use AI effectively and optimize your work with it.
Learn about AI's trouble spots through trial and error, like with Photoshop and deepfakes.

INSIGHT

IBM's Ethical Stance

IBM prioritizes AI ethics with a dedicated board and design process focusing on trust and transparency.
They have strong stances against military and surveillance applications, advocating for precise regulation.

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We're always hearing about the latest AI technology. But how should we actually be using AI as a whole? What ethics and rules should be in place to make sure AI is used properly and effectively? Today Moe Alo, Senior Sales Leader at IBM, joins us to discuss.

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Timestamps:
[00:01:00] Daily AI news
[00:04:23] About Moe Alo and IBM
[00:04:23] IBM's importance to AI
[00:09:20] How should we be using AI?
[00:13:28] How IBM approaches AI and ethics
[00:18:28] What IBM is doing in the AI space
[00:20:49] Importance of accessibility in generative AI systems
[00:24:00] Moe's final takeaway

Topics Covered in This Episode:
- Concern about companies not prioritizing ethics in AI
- AI's potential in education and its real-world applications
- Ensuring individual responsibility and protecting personal data in AI usage
- Dismissing extreme fears of AI leading to mass destruction or job loss
- Accessibility and awareness of potential dangers and limitations of AI
- Examples of misuse of AI as learning opportunities
- Importance of using AI in an effective and optimized manner
- IBM's history and hopes for their approach to AI
- Concern about AI disadvantaging certain groups of people
- Ethical concerns regarding programmatic ads generated by AI
- Existence of bad actors in the market seeking to monetize AI
- Surprising lack of awareness about the advancements and impact of AI
- IBM's commitment to ethics and responsibility in AI
- AI ethics board and privacy board at IBM
- AI by design process and pillars of trust, transparency, privacy, fairness, explainability, and robustness
- IBM's stance against military applications and surveillance technology
- AI's role in HR tools and resume screening
- Partnerships with Vatican and University of Notre Dame for AI ethics
- IBM's support for precision regulations and guardrails for AI technology
- Watson X platform for enterprise AI, including Watson X.ai, Watson X.data, and Watson X.governance subsets
- Importance of accessibility and leveling the playing field in generative AI
- Updates on AI-related news, such as The New York Times' terms of service and funding for Anthropic
- Amazon's use of AI summaries in product reviews
- Excitement about the accessibility and benefits of large language models

Keywords:
ethics, IBM, AI, responsible use, human-AI collaboration, transparency, end users, Microsoft, downsizing ethics teams, concern, ethics prioritization, job loss, mass destruction, extreme fears, accessibility, watermarking, executive orders, AI principles, misuse, deep fakes, personalizing ChatGPT, AI ethics board, privacy board,

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