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, Microso

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