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.Newsletter: Sign-up for our free daily newsletterMore on this: Episode PageJoin the discussion: Ask Moe and Jordan questions about AI and ethicsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:[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 takeawayTopics 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 modelsKeywords:ethics, IBM, AI, responsible use, human-AI collaboration, transparency, end users, Microsoft, downsizing ethics teams, concern, ethics prioriSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app.

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