From DSC: The Bible talks about listening quite frequently. The authors ask people to listen to what is being communicated.
Proverbs 16:20
Whoever gives heed to instruction prospers,
and blessed is the one who trusts in the Lord.
Unfortunately, it often involves people NOT listening to the LORD and/or to others and, instead, going their/our own way. In my own life, things don’t go so well when I do that. I think the same is true on a more general/corporate level as well.
For example, Israel in ancient days thought and behaved this way too. Read 1 Kings and 2 Kings to see what I mean. They didn’t listen to the LORD. They didn’t listen to instruction. They thought they knew it all. They didn’t give credit to Whom credit was due. They made up their own gods and worshipped the things that they created.
The LORD wanted to bless them — and us. But they didn’t — and we still don’t — want to listen and submit to His will at times (even though His will is meant to BLESS US).
I used to see the LORD looking down from heaven, with a stern or disappointed look on His face. He was tapping His foot, and had His arms folded. I imagined Him saying, “Daniel, get your stuff together!!!” I didn’t see Him as being on my team.
Through the years He has shown me that He IS on my team and that He is active in my heart, mind, and life. He is full of grace, truth, patience, forgiveness, vulnerable love, and wisdom. He’s awesome. I love Him and His ways — but that’s taken me decades to be able to say that.
He wants what is best for us. He gave us gifts and wants us to use those gifts to serve others.
Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman A simple, three-step guide on how to design assessments in a post-AI world
Excerpt:
Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.
They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.
Just for a minute, consider how education would change if the following were true –
AIs “hallucinated” less than humans
AIs could write in our own voices
AIs could accurately do math
AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
AIs could teach anything any student wanted or need to know any time of day or night
AIs could do this at a fraction of the cost of a human teacher or professor
Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920. If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820. AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”
On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander A new practice with pedagogical possibilities
Excerpt:
Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?
…
How might this play out in a college or university class?
Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:
I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model.These prompts could help learners ask for things like:
overviews and in-depth explanations of specific topics in a specific sequence,
examples that the learner finds personally relevant and interesting,
interactive practice – including open-ended exercises – with immediate, corrective feedback,
the structure of the relationships between ideas and concepts,
Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.
The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.
The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.
Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.
Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.
In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.
To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.
Chatbots, data scientists, software engineers. As clients demand more for less, law firms are hiring growing numbers of staff who’ve studied technology not tort law to try and stand out from their rivals.
Law firms are advertising for experts in artificial intelligence “more than ever before,” says Chris Tart-Roberts, head of the legal technology practice at Macfarlanes, describing a trend he says began about six months ago.
Law firm leaders and consultants are unsure of how AI use will ultimately impact the legal workforce.
Consults are advising law firms and attorneys alike to adapt to the use of generative AI, viewing this as an opportunity for attorneys to learn new skills and law firms to take a look at their business models.
Split between foreseeing job cuts and opportunities to introduce new skills and additional efficiencies into the office, firm leaders and consultants remain uncertain about the impact of artificial intelligence on the legal workforce.
However, one thing is certain: law firms and attorneys need to adapt and learn how to integrate this new technology in their business models, according to consultants.
Are you overwhelmed by countless cases, complex legal concepts, and endless readings? Law School AI is here to help. Our cutting-edge AI chatbot is designed to provide law students with an accessible, efficient, and engaging way to learn the law. Our chatbot simplifies complex legal topics, delivers personalized study guidance, and answers your questions in real-time – making your law school journey a whole lot easier.
Job title of the future: metaverse lawyer— from technologyreview.com by Amanda Smith Madaline Zannes’s virtual offices come with breakout rooms, an art gallery… and a bar. .
Excerpt:
Lot #651 on Somnium Space belongs to Zannes Law, a Toronto-based law firm. In this seven-level metaverse office, principal lawyer Madaline Zannes conducts private consultations with clients, meets people wandering in with legal questions, hosts conferences, and gives guest lectures. Zannes says that her metaverse office allows for a more immersive, imaginative client experience. She hired a custom metaverse builder to create the space from scratch—with breakout rooms, presentation stages, offices to rent, an art gallery, and a rooftop bar.
Greg spoke with an AI guest named Justis for this episode. Justis, powered by OpenAI’s GPT-4, was able to have a natural conversation with Greg and provide insightful perspectives on the use of generative AI in the legal industry, specifically in law firms.
In the first part of their discussion, Justis gave an overview of the legal industry’s interest in and uncertainty around adopting generative AI. While many law firm leaders recognize its potential, some are unsure of how it fits into legal work or worry about risks. Justis pointed to examples of firms exploring AI and said letting lawyers experiment with the tools could help identify use cases.
Putting Humans First: Solving Real-Life Problems With Legal Innovation— from abovethelaw.com by Olga Mack Placing the end-user at the heart of the process allows innovators to identify pain points and create solutions that directly address the unique needs and challenges individuals and businesses face.
Merlyn Mind, an AI-powered digital assistant platform, announced the launch of a suite of large language models (LLMs) specifically tailored for the education sector under an open-source license.
Designing courses in an age of AI— from teachinginhighered.com by Maria Andersen Maria Andersen shares about designing courses in an age of artificial intelligence (AI) on episode 469 of the Teaching in Higher Ed podcast.
With generative AI, we have an incredible acceleration of change happening.
“The proposed transaction will complement Thomson Reuters existing AI roadmap and builds on its recent initiatives, including a commitment to invest more than $100 million annually on AI capabilities, the development of new generative AI experiences across its product suite, as well as a new plugin with Microsoft and Microsoft 365 Copilot for legal professionals,” TR’s announcement said.
From DSC: I post this to show how AI continues to make inroads into the legal realm — and how serious vendors are about it. I believe AI-enabled applications will eventually increase access to justice for the citizens of the United States of America.
Below is an addendum on 6/28/23 that further illustrates how serious vendors are about AI:
Databricks announced it will pay $1.3 billion to acquire MosaicML, an open source startup with neural networks expertise that has built a platform for organizations to train large language models and deploy generative AI tools based on them.
DC: This is the type of thing that might impact the interface design of future #AI related applications. If so, our current efforts to refine prompts may have a shorter lifespan that we expected.https://t.co/MuNMf2kGwL
— Daniel Christian (he/him/his) (@dchristian5) June 26, 2023
Why it matters: The best AI assistants will be the ones that require the least prompting. They’ll get to know who you are, what you need, and your modus operandi. Profiles are a good starting point, but we believe the game-changer will be larger context windows (that’s nerd-speak for the amount of context ChatGPT can handle). .
From DSC: And how about taking this a step further and remembering — or being able to access — our constantly updated Cloud-Based Learning Profiles?
My hypothesis and research suggest that as bar associations and the ABA begin to recognize the on-going systemic issues of high-cost legal education, growing legal deserts (where no lawyer serves a given population), on-going and pervasive access to justice issues, and a public that is already weary of the legal system – alternative options that are already in play might become more supported.
What might that look like?
The combination of AI-assisted education with traditional legal apprenticeships has the potential to create a rich, flexible, and engaging learning environment. Here are three scenarios that might illustrate what such a combination could look like:
Scenario One – Personalized Curriculum Development
Scenario Two – On-Demand Tutoring and Mentoring
Scenario Three – AI-assisted Peer Networks and Collaborative Learning:
We know that there are challenges – a threat to human jobs, the potential implications for cyber security and data theft, or perhaps even an existential threat to humanity as a whole. But we certainly don’t yet have a full understanding of all of the implications. In fact, a World Economic Forum report recently stated that organizations “may currently underappreciate AI-related risks,” with just four percent of leaders considering the risk level to be “significant.”
A survey carried out by analysts Baker McKenzie concluded that many C-level leaders are over-confident in their assessments of organizational preparedness in relation to AI. In particular, it exposed concerns about the potential implications of biased data when used to make HR decisions.
AI & lawyer training: How law firms can embrace hybrid learning & development — thomsonreuters.com A big part of law firms’ successful adaptation to the increased use of ChatGPT and other forms of generative AI, may depend upon how firmly they embrace online learning & development tools designed for hybrid work environments
Excerpt:
As law firms move forward in using of advanced artificial intelligence such as ChatGPT and other forms of generative AI, their success may hinge upon how they approach lawyer training and development and what tools they enlist for the process.
One of the tools that some law firms use to deliver a new, multi-modal learning environment is an online, video-based learning platform, Hotshot, that delivers more than 250 on-demand courses on corporate, litigation, and business skills.
Ian Nelson, co-founder of Hotshot, says he has seen a dramatic change in how law firms are approaching learning & development (L&D) in the decade or so that Hotshot has been active. He believes the biggest change is that 10 years ago, firms hadn’t yet embraced the need to focus on training and development.
From DSC: Heads up law schools. Are you seeing/hearing this!?
Are we moving more towards a lifelong learning model within law schools?
If not, shouldn’t we be doing that?
Are LLM programs expanding quickly enough? Is more needed?
Could this immersive AR experience revolutionize the culinary arts?
Earlier this month, the popular culinary livestreaming network Kittch announced that it is partnering with American technology company Qualcomm to create hands-free cooking experiences accessible via AR glasses.
We have a massive opportunity to transform law and legal services to better serve society. We MUST AUTOMATE the majority of what lawyers do today so that we can expand access to the law and justice for EVERYONE in the future.
From DSC: I put the following comment on Dan’s posting:
I couldn’t agree more Dan. Millions of people could benefit from the considered, careful research of — and eventual application of — technologies to significantly improve/impact access to justice (#A2J).
According to a recent report from Goldman Sachs, a bank, 44% of legal tasks could be performed by AI, more than in any occupation surveyed except for clerical and administrative support. Lawyers spend an awful lot of time scrutinising tedious documents—the sort of thing that AI has already demonstrated it can do well. Lawyers use AI for a variety of tasks, including due diligence, research and data analytics. These applications have largely relied on “extractive” AI, which, as the name suggests, extracts information from a text, answering specific questions about its contents.
Ultimately this will be good news for clients. “People who go to lawyers don’t want lawyers: they want resolutions to their problems or the avoidance of problems altogether,” explains Mr Susskind. If AI can provide those outcomes then people will use AI. Many people already use software to do their taxes rather than rely on professionals; “Very few of them are complaining about the lack of social interaction with their tax advisers.”
From DSC: Dr. Nino makes several solid points in this article. The article won’t let me copy/paste some excerpts for you, but I would encourage you to look at it.
I would add a few things:
The huge advantage of online-based learning is that a significant amount of learning-related data is automatically captured and doesn’t need to be manually entered (if such manually entered data ever does get entered…which most of it doesn’t).
Learners have much more control over the pacing within the digital realm — i.e., which media they want to use as well as stopping/fast-forwarding/rewinding certain kinds of media.
Most people are now required to be lifelong learners — where convenience and time-savings become very important factors in continuing one’s education
And finally, as AI and other technologies continue to make their way forward, it will be hard to beat online-based and/or hybrid-based learning.
“With Vision Pro, you’re no longer limited by a display,” Apple CEO Tim Cook said, introducing the new headset at WWDC 2023. Unlike earlier mixed reality reports, the system is far more focused on augmented reality than virtual. The company refresh to this new paradigm is “spatial computing.”
“This is the first Apple product you look through and not at.” – Tim Cook
And with those famous words, Apple announced a new era of consumer tech.
Apple’s new headset will operate on VisionOS – its new operating system – and will work with existing iOS and iPad apps. The new OS is created specifically for spatial computing — the blend of digital content into real space.
Vision Pro is controlled through hand gestures, eye movements and your voice (parts of it assisted by AI). You can use apps, change their size, capture photos and videos and more.
From DSC: Time will tell what happens with this new operating system and with this type of platform. I’m impressed with the engineering — as Apple wants me to be — but I doubt that this will become mainstream for quite some time yet. Also, I wonder what Steve Jobs would think of this…? Would he say that people would be willing to wear this headset (for long? at all?)? What about Jony Ive?
I’m sure the offered experiences will be excellent. But I won’t be buying one, as it’s waaaaaaaaay too expensive.
This week we learned of yet another heart-warming story wherein immersive technology was used to change a life. As reported by Shacknews, a handful of talented VR developers recently joined forces to answer the wish of a terminally-ill girl with a passion for mythical sea creatures.
Organized by VR Therapies, a group dedicated to exploring the use of VR technology for psychological and physical therapy, the project brought together 10 compassionate developers to make four-year-old Zainab’s dream of swimming through the ocean as a mermaid a reality for her birthday.
Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years.
The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly. pic.twitter.com/TDoUM1zSiy
Bill Gates says AI is poised to destroy search engines and Amazon — from futurism.com by Victor Tangermann Who will win the AI [competition]? (DSC: I substituted the word competition here, as that’s what it is. It’s not a war, it’s a part of America’s way of doing business.)
“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.
These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.
The online learning platform edX introduced two new tools on Friday based on OpenAI’s ChatGPT technology: an edX plugin for ChatGPT and a learning assistant embedded in the edX platform, called Xpert.
According to the company, its plugin will enable ChatGPT Plus subscribers to discover educational programs and explore learning content such as videos and quizzes across edX’s library of 4,200 courses.
Bing is now the default search for ChatGPT— from theverge.com by Tom Warren; via superhuman.beehiiv.com The close partnership between Microsoft and OpenAI leads to plug-in interoperability and search defaults.
Excerpt:
OpenAI will start using Bing as the default search experience for ChatGPT. The new search functionality will be rolling out to ChatGPT Plus users today and will be enabled for all free ChatGPT users soon through a plug-in in ChatGPT.
Students with mobility challenges may find it easier to use generative AI tools — such as ChatGPT or Elicit — to help them conduct research if that means they can avoid a trip to the library.
Students who have trouble navigating conversations — such as those along the autism spectrum — could use these tools for “social scripting.” In that scenario, they might ask ChatGPT to give them three ways to start a conversation with classmates about a group project.
Students who have trouble organizing their thoughts might benefit from asking a generative AI tool to suggest an opening paragraph for an essay they’re working on — not to plagiarize, but to help them get over “the terror of the blank page,” says Karen Costa, a faculty-development facilitator who, among other things, focuses on teaching, learning, and living with ADHD. “AI can help build momentum.”
ChatGPT is good at productive repetition. That is a practice most teachers use anyway to reinforce learning. But AI can take that to the next level by allowing students who have trouble processing information to repeatedly generate examples, definitions, questions, and scenarios of concepts they are learning.
It’s not all on you to figure this out and have all the answers. Partner with your students and explore this together.
