Michelle MacAleese’s Post

Engaging interview with Brad Smith, Vice Chair and President at Microsoft about the AI revolution and approaching it with a cautiously optimistic attitude. Some points that really stood out to me: -Roughly 3 billion people don't have access to the internet and 700 million people don't have access to electricity Who do we leave behind when we move forward with the next technical revolution? How do we ensure the most vulnerable people reap the benefits of AI when they are not involved in the conversation? - The effect of cars on society in relation to AI's future effects. Once people had the opportunity to drive further distances, the ties within small towns weakened. We know what we will gain with AI, but what will we lose? We have to push back against the technology to engage with each other, especially in difficult conversations. -Belief in creativity Smith says he doesn't want a world where you go to the beach every day because day 500 at the beach is never as fun as day 3 at the beach. I agree to a certain extent. I get nervous when I hear claims that AI will be useful for people who are good at reading and writing but bad at coding, because their AI assistant can code for them. One could see this one of two ways - AI helps the person achieve goals they previously could never ascend to without AI - or - AI drains the creativity that comes with learning a difficult task or collaborating with people with different skill sets. AI is a vast, seemingly bottomless pit of speculation. I think it's important to have conversations that we might assume we know how the other feels. Something the industrial revolution lacked was intentionality. We should learn from the past.

https://lnkd.in/gF_artQR..... Responsible AI is essential for scaling AI within enterprises, enabling with Tech will be the key. Responsible AI is not accountability of one, each and every individual organisations need to learn the aspects of lifecycle governance, Risk and Regulatory compliance associated with adoption of AI. Listen to my views on this with mint and how watsonx.governance is helping clients solve this. #ResponsibleAI #IBM Sameer Vaishampayan Rohit Sood Siddhesh Naik Manish Bhide Anup kumar

In this clip from the Business of Tech podcast episode titled "Exploring the Intersection of Technology and Ethics," Brian and Dave speak about the fear of losing jobs to AI. Check it out at the link below! https://hubs.la/Q02cs4s50 #AI #technology #lessonsfromleaders

Interesting insights from Bosch on the use of AI in their services and products. Bosch conducted a global survey on people's perceptions of AI, revealing a positive outlook. The findings indicate a consensus that AI will be the most influential key technology in the next decade. It is great that Microsoft is a partner in this journey. https://lnkd.in/eidmt-Pb #AI #Technology #Bosch #Innovation

This movie trailer was generated using AI! 🤖 It’s an AI model that can create realistic and imaginative scenes from text instructions. It can take a short text description and turn it into a detailed, high-definition film clip up to a minute long. 🤯 While this tech isn't publicly available yet, there are plans to release this to the public in the future. Open AI is aware of the risks of this type of tech in the wrong hands so they are "covering all their bases". It's clear that governance will play a critical role going forward. I discussed the role of governance/policy makers as AI continues to evolve on the last episode of my podcast with Matt Scheckner Chairman Advertising Week. See post here: https://lnkd.in/dTxZ6vE2 I'm curious to know, as AI continues to evolve, what are your fears or what are you most excited about? Whether you are in the creative industries or not. 🤔 See you at work. ☕ #Day47of365

Amazing podcast about Gen AI and how it is a collaboration between the human and the machine, not a competition. Companies will look for humans who know how to work with AI; so start working on your fusion skills: #IntelligentInterrogation #JudgementIntegration #ReciprocalApprenticing Listen to the podcast to know more about it!

Remember those two types of exams? 📚 The ones where you couldn't use any resources, testing mostly memory? And the ones where you could bring notes, emphasizing reasoning skills? Generative AI is going through a similar shift. Early models focused on memory (remembering the answer to any question), which often led to hallucinations. Fortunately, we have realized that memory isn't the key. The data is already out there on the internet. What we need is better reasoning. Newer, smaller models like Gemma2 and Phi2 are excelling at this. By connecting them to the right data, we not only reduce hallucinations but also gain more control over how information is processed and the quality of the output. I gained these insights from a Lex Fridman podcast featuring Aravind Srinivas, the CEO of Perplexity AI. They share some very interesting thoughts on where AI is headed.

When it comes to Artificial Intelligence, I've been a relative newbie, and I've had a healthy distrust (sometimes even disdain) for it — especially in the creative space. Over the past number of months, I've been tuned in to the The Daily AI Show. For 30(ish) minutes Monday through Friday, they cover a variety of topics from breaking news to arts, music, ethics, business, trends, etc. The cohosts are dynamic, fun, and come from a variety of backgrounds and interest points. It's a bit like a roundtable/morning coffee chat about AI — with some laughs along the way. I've learned a lot from them, and even though much of the time, the conversation can feel a bit "over my head", I will say, I'm now more aware of the ways that AI could be a welcome innovation for humankind if developed and exercised responsibly and ethically. (Please don't come for me, I'm still learning too!) 😅 Right now, the Daily AI Show is 19 YouTube subscribers away from 1000, which is a HUGE milestone for some great folks who are doing honest and good work in this emerging space. Since AI is here whether we like it or not, why not do our best to learn about it from folks who are smart, trustworthy, honest, real, and have a wide range of experience? If inclined, please check out the Daily AI show on YouTube, LinkedIn, or wherever you listen to Podcasts. If you're more of a reader, I'd encourage you to sign up for their new newsletter from thedailyaishow.com ☺️ https://lnkd.in/e5_rxnuT And if you ever wanna chat (basic) AI with a relative newb, you know where to find me — I totally welcome it!

Great insights on #AI by colleagues Alexander Sukharevsky, Lareina Yee, and Roberta Fusaro in this podcast. I particularly liked this: “[For] every dollar of technology [spend] we need to invest three to five in human beings, because human beings are very expensive and difficult to change." All across the statistics on AI use we are seeing a lot of talk, some experimentation, but relatively few genuine transformations. This will change with time, as both the supply side (easier-to-implement solutions) and demand side (more AI literacy) develop. Competition from startups (which have less legacy to deal with) may also shape the landscape. But right now, there's a clear competitive advantage to be had from moving from experimentation to implementation; and that, surprise surprise, is mostly about people (both employees and customers), not tech.

A lot of people are excited about #GenAI – in fact, 56% of office workers admit to having used it at work by choice. This is particularly interesting because normally people are reluctant to pick up new technology. Trends show that adoption of digital tools – even ones that are designed to save time and effort – is usually quite slow. So, what’s different about #AI? Is it that much better and easier to use than other tech, or has it just been marketed more effectively since the release of ChatGPT? #digitaltransformation