AI

In this post, I’d like to give a shoutout to Beatriz Moya, who led a rapid review on academic integrity and artificial intelligence. Title page of “Academic Integrity and artificial intellige…

Deep Dive for July 2024: Uses for ChatGPT and AI 00:00 Introduction to the Session: Overview of the focus on AI and its integration into various platforms, including Apple's operating system. 00:08 Overview of AI's Impact and Ethical Concerns: Discussing the transformative potential of AI, its implications for job markets, and ethical concerns regarding privacy and intellectual property. 03:01 AI in Practical Applications: Examples of AI in daily tasks, its effectiveness, and limitations, such as in writing assistance and image generation. 10:03 Deep Dive into Specific AI Tools and Features: Exploration of specific AI tools, enhancements in AI model capabilities over time, and their practical applications in various fields. 20:01 User Experiences and Applications: Personal experiences shared by participants using AI in diverse scenarios, from academic assistance to professional settings. 30:01 Discussion on AI's Role in Creativity and Automation: Debate on the balance between AI assistance and human creativity, especially in creative writing and generating artistic content. 40:01 Concerns and Optimistic Views on AI: Concerns about AI’s limitations in understanding context and human emotion, contrasted with optimism about AI improving productivity. 50:01 Closing Remarks and Future AI Trends: Summary of the session, reiteration of ethical considerations, and speculation on future advancements in AI technology. Overview: David Sparks, known as MacSparky, hosted a webinar to discuss the potential uses and implications of ChatGPT and artificial intelligence (AI) in various fields. He initially planned to focus on Apple's AI initiatives but shifted the topic due to their products not being released yet. Key Points: AI's Impact on Society: David believes AI is a significant technological advancement, not a fleeting trend like cryptocurrency. He predicts it will substantially change work dynamics, causing both job losses and creations. Personal Experience and Ethical Concerns: David shares his experiments with AI, specifically using ChatGPT, which he chose due to its early market presence and upcoming integration into Apple's ecosystem. He expresses concerns about the ethical implications of AI, particularly regarding intellectual property and privacy, as AI models are trained by scraping vast amounts of data from the internet. Practical Applications Discussed: David provides examples of practical AI applications, such as improving workflow efficiency, assisting in content creation without replacing human input, and enhancing research capabilities. He emphasizes the importance of keeping a human in the loop to avoid errors that AI might introduce. AI in Writing and Personal Work: He discusses his discomfort with using AI for personal or emotional writing, sharing a story about someone using AI to write a speech, which he found disheartening. David stresses the importance of authenticity in personal expressions. Future Plans: Plans to explore AI’s role once Apple releases its AI products. He mentions that he will continue to evaluate how AI can be integrated responsibly into his work and shares resources for others to learn about AI’s broader implications. Conclusion: David Sparks encourages critical engagement with AI technologies, balancing the benefits of efficiency and innovation with mindful consideration of ethical and personal values. He advocates for a cautious, informed approach to integrating AI into professional and personal life. ▬▬▬▬▬▬▬▬▬▬ All About MacSparky ▬▬▬▬▬▬▬▬▬▬ 📄 Read my Blog https://www.macsparky.com 📚 Browse through the MacSparky Field Guides https://learn.macsparky.com ⚙️ Join the MacSparky Labs https://www.macsparky.com/join/ 🗞️ Subscribe to the MacSparky Newsletter https://sparky-media-inc.ck.page/2eb4ea7041 🎙️I’m the co-host of three podcasts on Relay FM: Mac Power Users 🖥️ https://www.relay.fm/mpu Automators ⚙️ https://www.relay.fm/automators Focused 👓 https://www.relay.fm/focused

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A leading computer scientist says it’s “educability,” not intelligence, that matters most.

Google had to turn the comments off on this Gemini ad for good reason. It blows my mind that even marketing folks at these big tech companies don’t seem to understand the underlying concerns that...

I know many of us are returning to the classroom with a sense of unease, even dread about how generative AI will impact the semester.

The American Association of Colleges and Universities and Elon University have launched an artificial intelligence how-to guide for students navigating the sometimes-murky waters of the burgeoning technology.

Effectively navigating the promises and perils of AI requires a careful evaluation of institutional preparedness, a clear set of objectives, and a pol

Effectively navigating the promises and perils of AI requires a careful evaluation of institutional preparedness, a clear set of objectives, and a pol

Want AI to help build a business? Need tips to streamline marketing and content creation? Leverage AI tools to inform and grow your business.

The Results Part 3: Creating a Course Outline

This is the final post in a nine-part series exploring AI ethics, originally outlined in this post. Each post goes into detail on the ethical concern and provides practical ways to discuss these is…

How will people compose text moving forward, now that every author working with a digital word processor and internet access can use generative AI?

Every time we talk about AI, we get one big piece of feedback that I really want to dive into: how the lightning-fast explosion of AI tools affects the climate. AI takes a lot of energy, and there’s a huge unanswered question as to whether using all that juice for AI is actually worth it, both practically and morally. It’s messy and complicated and there are a bunch of apparent contradictions along the way — so it’s perfect for Decoder. Verge senior science reporter Justine Calma joins me to see if we can untangle this knot. Links: This startup wants to capture carbon and help data centers cool down | The Verge Google’s carbon footprint balloons in its Gemini AI era | The Verge Taking a closer look at AI’s supposed energy apocalypse | Ars Technica AI is exhausting the power grid. Tech firms are seeking a miracle | WaPo AI Is already wreaking havoc on global power systems | Bloomberg What do Google’s AI answers cost the environment? | Scientific American AI is an energy hog | MIT Tech Review Microsoft’s AI…

Large language models go through a lot of vetting before they’re released to the public. That includes safety tests, bias checks, ethical reviews and more. But what if, hypothetically, a model could dodge a safety question by lying to developers, hiding its real response to a safety test and instead giving the exact response its human handlers are looking for? A recent study shows that advanced LLMs are developing the capacity for deception, and that could bring that hypothetical situation closer to reality. Marketplace’s Lily Jamali speaks with Thilo Hagendorff, a researcher at the University of Stuttgart and the author of the study, about his findings.

Academics gathered last week to discuss the future of artificial intelligence in teaching.

The Ethical Challenges in AI worksheet will help you work through ethical challenges using a design process.

It enters a category full of flops.

AI Chatbots are conversational agents that can act on your behalf and converse with humans - a futuristic novelty that is already getting people excited about its usage in improving efficiency.