Today, we’re announcing the next wave of AI innovations from Microsoft Education that will help unlock productivity and personalize learning. This includes expanded Copilot for Microsoft 365 availability and Loop coming to education. We’re also sharing news about AI built for education such as Reading Coach and features designed to free up time for educators and personalize learning. As part of our continued work to build AI literacy, we’ve launched our latest course for educators and a new learning path on Microsoft Learn. And earlier this week we outlined Microsoft’s position and themes for policymakers to consider around advancing youth online safety and wellness.
With the latest AI technology, we have an opportunity to provide learners with personalized, engaging, and transformative reading experiences. Reading Coach, aLearning Acceleratornow powered by generative AI, does just that. You can sign up for a preview of Reading Coach today and try it for yourself atcoach.microsoft.com.
Last week, CETL partnered with the Department of Writing and Rhetoric to offer a second iteration of the AI Institute for Teachers to an audience of UM instructors from across disciplines. Nearly 60 faculty from 26 different departments and schools attended the three-day event. In a wide variety of interactive sessions designed by Institute leader Marc Watkins, participants examined the impact of generative AI on teaching and learning, working in small groups to consider how to approach AI in their own disciplines.
If you’re not a UM faculty member or couldn’t attend the sessions, we have good news! All the materials from the Institute are publicly available at the following links:
Rather than try to ban this technology from classrooms outright, the Learning With AI project asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to experiment with progressive forms of pedagogy that can exploit them.
OpenAI on Thursday announced its first partnership with a higher education institution.
Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
The partnership has been in the works for at least six months.
ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.
The collaboration between ASU and OpenAI brings the advanced capabilities of ChatGPT Enterprise into higher education, setting a new precedent for how universities enhance learning, creativity and student outcomes.
“ASU recognizes that augmented and artificial intelligence systems are here to stay, and we are optimistic about their ability to become incredible tools that help students to learn, learn more quickly and understand subjects more thoroughly,” ASU President Michael M. Crow said. “Our collaboration with OpenAI reflects our philosophy and our commitment to participating directly to the responsible evolution of AI learning technologies.”
AI <> Academia — from drphilippahardman.substack.com by Dr. Philippa Hardman What might emerge from ASU’s pioneering partnership with OpenAI?
Phil’s Wish List #2: Smart Curriculum Development ChatGPT assists in creating and updating course curricula, based on both student data and emerging domain and pedagogical research on the topic.
Output: using AI it will be possible to review course content and make data-informed automate recommendations based on latest pedagogical and domain-specific research
Potential Impact: increased dynamism and relevance in course content and reduced administrative lift for academics.
Unlike traditional leadership, adaptable leadership is not bound by rigid rules and protocols. Instead, it thrives on flexibility. Adaptable leaders are willing to experiment, make course corrections, and pivot when necessary. Adaptable leadership is about flexibility, resilience and a willingness to embrace change. It embodies several key principles that redefine the role of leaders in organizations:
Embracing uncertainty
Adaptable leaders understand that uncertainty is the new norm. They do not shy away from ambiguity but instead, see it as an opportunity for growth and innovation. They encourage a culture of experimentation and learning from failure.
Empowering teams
Instead of dictating every move, adaptable leaders empower their teams to take ownership of their work. They foster an environment of trust and collaboration, enabling individuals to contribute their unique perspectives and skills.
Continuous learning
Adaptable leaders are lifelong learners. They are constantly seeking new knowledge, stay informed about industry trends and encourage their teams to do the same. They understand that knowledge is a dynamic asset that must be constantly updated.
Major AI in Education Related Developments this week — from stefanbauschard.substack.com by Stefan Bauschard ASU integrates with ChatGPT, K-12 AI integrations, Agents & the Rabbit, Uruguay, Meta and AGI, Rethinking curriculum
“The greatest risk is leaving school curriculum unchanged when the entire world is changing.” Hadi Partovi, founder Code.org, Angel investor in Facebook, DropBox, AirBnb, Uber
Tutorbots in college. On a more limited scale, Georgia State University, Morgan State University, and the University of Central Florida are piloting a project using chatbots to support students in foundational math and English courses.
Pioneering AI-Driven Instructional Design in Small College Settings — from campustechnology.com by Gopu Kiron For institutions that lack the budget or staff expertise to utilize instructional design principles in online course development, generative AI may offer a way forward.
Unfortunately, smaller colleges — arguably the institutions whose students are likely to benefit the most from ID enhancements — frequently find themselves excluded from authentically engaging in the ID arena due to tight budgets, limited faculty online course design expertise, and the lack of ID-specific staff roles. Despite this, recent developments in generative AI may offer these institutions a low-cost, tactical avenue to compete with more established players.
There’s a new AI from Google DeepMind called AlphaGeometry that totally nails solving super hard geometry problems. We’re talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.
But probably the most noticeable difference is that there’s a running theme of AI throughout the guide. First, there’s a nine-page spread devoted entirely to artificial intelligence — digging into how it works, what teachers are concerned about, some really good places to go to learn more, and 12 tools whose primary function is leveraging the power of AI. In addition to that, we went through the rest of the guide and put a little AI icon on every single tool that uses AI in some way, so you can see whether the tools you already know and love have started to take advantage of what artificial intelligence has to offer.
But a few applications of machine learning stood out as genuinely helpful or surprising — here are a few examples of AI that might actually do some good.
The whole idea that AI might not be a total red flag occurred to me when I chatted with Whispp at a press event. This small team is working on voicing the voiceless, meaning people who have trouble speaking normally due to a condition or illness.
Today, I want to give my honest review of every AI art tool I used and why I love/hate some of them. I’ll highlight the best features they have and how the impact they had on me as an AI artist.
… Midjourney v4: The first AI art tool I loved
While Lensa had its moment and offered users the chance to turn their selfies into stylized AI art effortlessly, Midjourney v4 meant a world of new possibilities. You could create anything you wanted with a prompt!
Speaking of art and creativity, here are two other items to check out!
The Emerging Role of Smart TVs Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.
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This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.
From DSC: Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.
As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:
Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.
So what were the top stories? Well, if you missed it, no worries. Here’s the video:
In the 2023 Litigation Support Trend Survey, U.S. Legal Support asked lawyers and legal professionals what technology trends they observed in 2023, and how they expect their use of technology to change in 2024.
Now, the results are in—check out the findings below.
Topics included:
Use of Artificial Intelligence
Prevalence of Remote Depositions
Digital Reporting
Speaking of legaltech and/or how emerging technologies are impacting the legal realm, also see:
? Voice Cloning in Law: ? A Brave New World of Sound!
In my latest blog, “The Deepfake Dilemma: Navigating Voice Cloning in the Legal System,” I tackle the complex challenges posed by voice cloning technology in the justice system. Discover the challenges, risks, and ethical… pic.twitter.com/Jj5u51u1Ia
Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.
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It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.
It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:
Non-traditional students in terms of age and background
Quick and easy application process
Personalised learning using AI
Multimodal from the start
Full range of summarisation, create self-assessment, dialogue tools
Look over this list of my blog posts that were most popular this year, and there is no doubt about the topic that most captivated the legal industry. Of my 40 most-read posts of 2023, 30 directly involved generative AI and others implicated it.
What I’m watching for in 2024 — from alexofftherecord.com by Alex Su My view of the legal ecosystem, and why I’m going to pay close attention to generative AI, new Biglaw offerings, and the rise of “independent” attorneys
Today, instead of sharing my predictions about what’s coming to the legal industry, I’ll share where I think the most action will take place next year. In short, it’s (1) generative AI; (2) Biglaw firms adding low-cost capabilities; and (3) strong bench talent among independent attorneys. Before I get into why, I’ll share some observations on the past, and the trends I’m seeing take place right now.
In 2023, the legal landscape has been significantly shaped by two key trends: the rapid evolution of Artificial Intelligence (AI) and the advancements in ediscovery. These developments have not only transformed legal processes but also presented new challenges and opportunities for legal professionals. As we delve into this first part of our series, we examine the top blogs that have been at the forefront of these trends. These articles offer a window into the current state of legal tech, providing invaluable insights into how these technological advances are reshaping the practice of law.
In the fast-paced world of the digital era, technology is revolutionizing almost every aspect of our lives, and the legal field is no exception. The traditional process to hire a lawyer, once dominated by word-of-mouth referrals and physical law firm visits, is undergoing a transformation. This shift is not just changing how clients find and interact with legal professionals, but also how legal services are delivered and experienced. In this blog, we delve into the ways technology is reshaping the landscape of hiring a lawyer.
A virtual assistant can perform administrative tasks for a firm, from client communication and appointment scheduling to legal research, contract management and accounting. Delegating these tasks can be an effective way to free up lawyers to do what they do best. Based on my work with virtual assistants, here are some of the potential benefits and also tips on how you can find a VA who best fits the needs of your practice.
The changing mindset of lawyers toward technology
In 2023, there was a noticeable shift in the mindset of legal professionals. While its direct health impacts remain uncertain, the pandemic’s influence in accelerating technology adoption has been undeniable. Lawyers and judges, traditionally viewed as tech-averse, are now embracing tools like Zoom, iPads and smartwatches with surprising enthusiasm.
Post-pandemic, as lawyers returned to offices—often in a hybrid model—they displayed a newfound curiosity about technology. This change in attitude came at an opportune moment, coinciding with the introduction of new generative AI technologies in the legal field even as legal technology funding declined.
WASHINGTON, Dec 31 (Reuters) – Artificial intelligence represents a mixed blessing for the legal field, U.S. Supreme Court Chief Justice John Roberts said in a year-end report published on Sunday, urging “caution and humility” as the evolving technology transforms how judges and lawyers go about their work.
Roberts struck an ambivalent tone in his 13-page report. He said AI had potential to increase access to justice for indigent litigants, revolutionize legal research and assist courts in resolving cases more quickly and cheaply while also pointing to privacy concerns and the current technology’s inability to replicate human discretion.
“I predict that human judges will be around for a while,” Roberts wrote. “But with equal confidence I predict that judicial work – particularly at the trial level – will be significantly affected by AI.”
Generative AI Is Set to Shake Up Education— from morganstanley.com
While educators debate the risks and opportunities of generative AI as a learning tool, some education technology companies are using it to increase revenue and lower costs.
Key Takeaways
Contrary to the view that generative AI is undermining education, it could ultimately improve access and quality.
Education technology companies have opportunities from generative AI that markets may be missing.
Generative AI could bring $200 billion in value to the global education sector by 2025.
Reskilling and retraining alone could require $6 billion in investments by 2025, with edtech companies poised to fill that need.
Outgoing SNHU president: AI means universities must change ‘dramatically’ — from msn.com by Steven Porter
In his next chapter, LeBlanc will work with a team of researchers to study emerging AI trends, impacts on education, and opportunities to innovate. (The initiative harkens back to his early scholarship. During grad school decades ago, LeBlanc studied the ways computers could impact how societies think.)
LeBlanc said the AI-induced changes on the horizon will require educational institutions to reimagine how they assess student learning and grapple with implications for privacy and data security. There are also bigger questions about what jobs will go away and what jobs will be created, which influences the fields of study schools will offer, he said.
AI & Education: A Year in Review — from drphilippahardman.substack.com by Dr. Philippa Hardman The top five use cases & most popular tools among educators at the end of 2023 – the year than Gen AI shook-up education
Use Case #1: Content Creation
Use Case #2: Brainstorming & Ideation
Use Case #3: Research & Analysis
Use Case #4: Writing & Communicating
Use Case #5: Task Automation
My mission is to spread awareness about the incredible potential of AI and AI advisory boards in education. Through my website, aiadvisoryboards.wordpress.com, I aim to inspire educators, administrators, and students to embrace AI and create innovative learning environments.
verb
(of artificial intelligence) to produce false information contrary to the intent of the user and present it as if true and factual. Example: When chatbots hallucinate, the result is often not just inaccurate but completely fabricated.
Soon, every employee will be both AI builder and AI consumer— from zdnet.com by Joe McKendrick, via Robert Gibson on LinkedIn “Standardized tools and platforms as well as advanced low- or no-code tech may enable all employees to become low-level engineers,” suggests a recent report.
The time could be ripe for a blurring of the lines between developers and end-users, a recent report out of Deloitte suggests. It makes more business sense to focus on bringing in citizen developers for ground-level programming, versus seeking superstar software engineers, the report’s authors argue, or — as they put it — “instead of transforming from a 1x to a 10x engineer, employees outside the tech division could be going from zero to one.”
Along these lines, see:
TECH TRENDS 2024 — from deloitte.com Six emerging technology trends demonstrate that in an age of generative machines, it’s more important than ever for organizations to maintain an integrated business strategy, a solid technology foundation, and a creative workforce.
The ruling follows a similar decision denying patent registrations naming AI as creators.
The UK Supreme Court ruled that AI cannot get patents, declaring it cannot be named as an inventor of new products because the law considers only humans or companies to be creators.
The New York Times sued OpenAI and Microsoft for copyright infringement on Wednesday, opening a new front in the increasingly intense legal battle over the unauthorized use of published work to train artificial intelligence technologies.
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The suit does not include an exact monetary demand. But it says the defendants should be held responsible for “billions of dollars in statutory and actual damages” related to the “unlawful copying and use of The Times’s uniquely valuable works.” It also calls for the companies to destroy any chatbot models and training data that use copyrighted material from The Times.
On this same topic, also see:
? The historic NYT v. @OpenAI lawsuit filed this morning, as broken down by me, an IP and AI lawyer, general counsel, and longtime tech person and enthusiast.
Tl;dr – It’s the best case yet alleging that generative AI is copyright infringement. Thread. ? pic.twitter.com/Zqbv3ekLWt
ChatGPT and Other Chatbots
The arrival of ChatGPT sparked tons of new AI tools and changed the way we thought about using a chatbot in our daily lives.
Chatbots like ChatGPT, Perplexity, Claude, and Bing Chat can help content creators by quickly generating ideas, outlines, drafts, and full pieces of content, allowing creators to produce more high-quality content in less time.
These AI tools boost efficiency and creativity in content production across formats like blog posts, social captions, newsletters, and more.
Microsoft is getting ready to upgrade its Surface lineup with new AI-enabled features, according to a report from Windows Central. Unnamed sources told the outlet the upcoming Surface Pro 10 and Surface Laptop 6 will come with a next-gen neural processing unit (NPU), along with Intel and Arm-based options.
With the AI-assisted reporter churning out bread and butter content, other reporters in the newsroom are freed up to go to court, meet a councillor for a coffee or attend a village fete, says the Worcester News editor, Stephanie Preece.
“AI can’t be at the scene of a crash, in court, in a council meeting, it can’t visit a grieving family or look somebody in the eye and tell that they’re lying. All it does is free up the reporters to do more of that,” she says. “Instead of shying away from it, or being scared of it, we are saying AI is here to stay – so how can we harness it?”
This year, I watched AI change the world in real time.
From what happened, I have no doubts that the coming years will be the most transformative period in the history of humankind.
Here’s the full timeline of AI in 2023 (January-December):
What to Expect in AI in 2024 — from hai.stanford.edu by Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.
Throughout 2023, AI and the future of work have frequently been on the metaphorical – and often literal – front page around the world. There have been many excellent articles about the ways in which work may change as LLMs are increasingly integrated into our lives. As such, in this year’s report we focus specifically on areas that we think deserve additional attention or where there is research that has been done at Microsoft that offers a unique perspective. This is a report that should be read as a complement to the existing literature, rather than as a synthesis of all of it.
This is a rare time, one in which research will play a particularly important role in defining what the future of work looks like. At this special moment, scientists can’t just be passive observers of what is happening. Rather, we have the responsibility to shape work for the better. We hope this report can help our colleagues around world make progress towards this goal. .
Excerpt:
Analyzing and integrating may become more important skills than searching and creating With content being generated by AI, knowledge work may shift towards more analysis and critical integration
Information search as well as content production (manually typing, writing code, designing images) is greatly enhanced by AI, so general information work may shift to integrating and critically analyzing retrieved information
Writing with AI is shown to increase the amount of text produced as well as to increase writing efficiency (Biermann et al. 2022, Lee et al 2022)
With more generated text available, the skills of research, conceptualization, planning, prompting and editing may take on more importance as LLMs do the first round of production (e.g., Mollick 2023).
Skills not directly to content production, such as leading, dealing with critical social situations, navigating interpersonal trust issues, and demonstrating emotional intelligence, may all be more valued in the workplace (LinkedIn 2023)
Want to know how K12 schools are navigating the adoption of AI and what district-level leaders really think about GenAI EdTech tools?
Join us for this free webinar where we discussed AI technology, literacy, training, and the responsible adoption of GenAI tools in K12. Our panel explored what is working well – and not so well – across their districts from a school leader and practitioner’s perspective.
Those vastly different approaches to college writing pretty much sum up the responses to generative AI: They’re all over the map.
One year after its release, ChatGPT has pushed higher education into a liminal place. Colleges are still hammering out large-scale plans and policies governing how generative AI will be dealt with in operations, research, and academic programming. But professors have been forced more immediately to adapt their classrooms to its presence. Those adaptations vary significantly, depending on whether they see the technology as a tool that can aid learning or as a threat that inhibits it.
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Nearly 100 faculty members shared their stories. While not a representative sample, they teach at a wide range of institutions: 15 community colleges, 32 public and 24 private four-year colleges or universities, seven international institutions, and one for-profit college. They teach a variety of subjects, including animal science, statistics, computer science, history, accounting, and composition. Many spent hours learning about AI: enrolling in workshops and webinars, experimenting with the tools, and reading articles, so that they could enter the fall semester informed and prepared.
The Disruption of AI in CTE Is Real— from techlearning.com by Annie Galvin Teich An ACTE expert panel urges CTE educators to jump on the AI train as it’s already left the station
10 Best Practices for AI and CTE
Embrace AI and use it first for simple tasks to create efficiencies. Then use it to individualize instruction and for formative assessment tools aligned to standards.
Be creative and conscious of internal bias and ethics. Focus on DEI and access.
Encourage students to use apps and tools to start moving toward an integrated curriculum using AI.
Prepare students for jobs of the future by partnering with industry to solve real problems.
Where will AI make a big difference?
At Emerge, we have identified eight high-level trends — what we’re calling “engines of opportunity”. These eight “engines of opportunity” capture our ideas about how AI is being used to drive better practice and outcomes in HE, now and into the future.
They fall into two main categories:
Making learning more engaging: solutions that scale high quality pedagogy at low cost.
Making teaching more efficient: solutions that save educators and organisations time and money.
