Saturday, November 18, 2023
Saturday, October 21, 2023
Saturday, October 14, 2023
Weekly Sporto bookmarks (weekly)
-
Costa Rica | Education at a Glance 2023 : OECD Indicators | OECD iLibrary
-
- .
In Costa Rica, 4% of 25-34 year-olds have a VET qualification as their highest level of attainment: 2% at upper secondary level and 2% at short-cycle tertiary level - On average across the OECD, 14% of young adults have not attained an upper secondary qualification. In Costa Rica, the share is higher than the OECD average (42%).
-
Saturday, September 23, 2023
Weekly Sporto bookmarks (weekly)
-
Moodle plugins directory: AI Text to Image
"A repository that adds the ability to get AI generated imaged directly into Moodle, using OpenAI API."
- A repository that adds the ability to get AI generated imaged directly into Moodle, using OpenAI API.
-
-
Moodle plugins directory: AI Connector
-
The plugin requires API keys for OpenAI and DeepAI services,
-
-
What Is Generative AI: A Super-Simple Explanation Anyone Can Understand
Saturday, September 9, 2023
Weekly Sporto bookmarks (weekly)
-
Eye Bond Overview: Education, Youth, Employment
" sustainable social development."
Saturday, September 2, 2023
Saturday, August 26, 2023
Weekly Sporto bookmarks (weekly)
-
Artificial Intelligence in Education: A Media Education Approach | David Buckingham
"where will creative careers begin?"
- , where will creative careers begin?
- massive implications for copyright
- if the service seems to be free, then you are the product
- all that AI does is to automate (and thus accelerate) processes that have already been under way for some time
- the advent of AI provides us with yet more new curriculum content.
- My observations above suggest a series of questions to do with the political economy of AI that might well be explored by students: basic questions about business, work and regulation are all familiar from the approaches we have developed with students relating to ‘older’ media.
- However, there are other questions about how we might actively use AI in our teaching
- Media education is not primarily about teaching with or through media, but teaching about media: it is not to be confused with educational media, or educational technology.
- Arguably, the more effective and seamless the technology becomes, the harder (and yet more necessary) it is to take a critical distance from it: we need to slow it down, to de-familiarise it, and to consider how it might be otherwise.
- Ideally, it should be interesting to compare outputs from different applications as well.
- Glenn’s overall approach is refreshingly critical; but he also offers some engaging and productive ways to use the technology to create media such as comics and animation.
- Teaching almost always uses media and technology in some form.
- As ever, the question is whether teachers can learn to use technologies critically and creatively.
-
-
Education’s Essential Role in the AI Revolution | Dr. Ian O'Byrne
-
Artificial Intelligence and Instructional Design : Learning Solutions | The Learning Guild
Saturday, August 12, 2023
Saturday, July 29, 2023
Saturday, July 15, 2023
Saturday, June 24, 2023
Saturday, June 17, 2023
Weekly Sporto bookmarks (weekly)
-
(16) Assigning AI: Seven Ways of Using AI in Class
"As educators, we got to see the full range of AI’s impacts on display: as threat and as opportunity"
- As educators, we got to see the full range of AI’s impacts on display: as threat and as opportunity
- But we have so far avoided the most obvious way AI could be used in education: to directly help students as mentor, coach, tutor, etc
- Teaching them how to do it responsibly may alleviate some of the negative implications of our AI moment.
- seven different ways to use AI in classrooms: AI-tutor, for increasing knowledge, AI-coach for increasing metacognition, AI-mentor to provide balanced, ongoing feedback, AI-teammate to increase collaborative intelligence, AI-tool for extending student performance, AI-simulator to help with practice, and AI-student to check for understanding.
-
Saturday, June 10, 2023
Saturday, June 3, 2023
Saturday, May 20, 2023
Weekly Sporto bookmarks (weekly)
-
Master the Art of Writing Image Generation Prompts for AI in 5 Min
-
(16) Dear Gabrielle: Building an AI-powered advice columnist
-
Brandon Carson on LinkedIn about L&D transformation with AI
"L&D has a responsibility to leverage AI tech to build human capability faster than ever before. "
- As we enter the single largest job transformation in human history, L&D has a responsibility to leverage AI tech to build human capability faster than ever before. There are four phases we need to focus on:
- L&D Transformation
- We must augment our own capability with a digital-first, systems thinking mindset, and assertively move to redesign the company's job architectures.
- We need to challenge misaligned business priorities, make deeper investment in learning technology, and realign our teams to be more deeply connected to the business drivers. In fact, we need to be in front of the business needs when it comes to workforce planning.
- The role of L&D must change to focus more on coaching to capability.
- Rethink Knowledge Acquisition.
- Let's leverage AI to bring personalized, adaptive learning to the masses, while we preserve humanity to digitally coach capability.
- continually assess performance and nudge workers to their optimal capability.
- Increase Usage of Assessments.
- Stop the tyranny of presenting information and calling it learning.
- Focus More on Application
-
-
The race to bring generative AI to mobile devices | Financial Times
"As tech companies rush to embed generative AI into their software and services, they face significantly higher computing costs. The concern has weighed in particular on Google, with Wall Street analysts warning that the company’s profit margins could be squeezed if internet search users come to expect AI-generated content in standard search results."
- The shift could make services such as chatbots far cheaper for companies to run and pave the way for more transformative applications using generative AI.
- “You need to make the AI hybrid — [running in both] the data centre and locally — otherwise it will cost too much money,” Cristiano Amon, chief executive of mobile chip company Qualcomm, told the Financial Times. Tapping into the unused processing power on mobile handsets was the best way to spread the cost, he said.
- Generating a response to a query on a device, rather than waiting for a remote data centre to produce a result, could also reduce the latency, or delay, from using an application. When a user’s personal data is used to refine the generative responses, keeping all the processing on a handset could also enhance privacy.
- According to Arvind Krishna, chief executive of IBM, most companies that look to use generative AI in their own services will get much of what they need by combining a number of these smaller models.
- With most of the work on tailoring the models to handsets still at an experimental stage, it was too early to assess whether the efforts would lead to truly useful mobile applications, said Ben Bajarin, an analyst at Creative Strategies
- He predicted relatively rudimentary apps, such as voice-controlled photo-editing functions and simple question-answering, from the first wave of mobile models with between 1bn and 10bn parameters
-
-
What Really Made Geoffrey Hinton Into an AI Doomer | WIRED
"He is most concerned about near-term risks such as more sophisticated, AI-generated disinformation campaigns, but he also believes the long-term problems could be so serious that we need to start worrying about them now."
-
Closing the Equity Gap with ChatGPT – improving learning
- Our results show that ChatGPT substantially raises average productivity: time taken decreases by 0.8 SDs [37%, or from 27 minutes to 17 minutes] and output quality rises by 0.4 SDs [a 0.75 point increase in grade on a 7 point scale]. Inequality between workers decreases, as ChatGPT compresses the productivity distribution by benefiting low-ability workers more. ChatGPT mostly substitutes for worker effort rather than complementing worker skills, and restructures tasks towards idea-generation and editing and away from rough-drafting. Exposure to ChatGPT increases job satisfaction and self-efficacy and heightens both concern and excitement about automation technologies.
- There seems to be real promise here for making progress toward closing the equity gap in education.
-
-
Discover, Create, and Publish your research paper | SciSpace by Typeset
-
Master ChatGPT Prompts: Ultimate Cheat Sheet & Guide – Kanaries
Saturday, May 13, 2023
Weekly Sporto bookmarks (weekly)
-
edX Debuts Two AI-Powered Learning Assistants Built on ChatGPT
-
How Generative AI Works | MIT Horizon
"Generative AI is a category of artificial intelligence systems that create new data, such as written language, images, videos, or audio"
- Generative AI is a category of artificial intelligence systems that create new data, such as written language, images, videos, or audio
- Though AI researchers have been developing generative models and techniques for years, one of the biggest milestones in generative AI was the public release of ChatGPT in December 2022.
-
-
The Best Way to Use the Kirkpatrick Model for Evaluating L&D Impact | LinkedIn
-
New Economy Forum: The Great AI Dilemma - Balancing AI Risks and Opportunities
-
Types of Generative AI Applications | MIT Horizon
"For now, organizations are typically exploring or deploying generative AI to assist in one of three ways: to create new content, to access information, and to manage communications"
- For now, organizations are typically exploring or deploying generative AI to assist in one of three ways: to create new content, to access information, and to manage communications
- In January 2023, stock image provider Shutterstock launched a generative AI tool that, using text-to-image technology from OpenAI, can create unique images that customers can edit and purchase.
- Graphic design platform Canva, often used to create social media graphics, has added AI-powered text and image generation to its platform, including AI tools that can create an entire presentation slide deck from a text prompt.
-
Saturday, May 6, 2023
Saturday, April 29, 2023
Weekly Sporto bookmarks (weekly)
-
(2) A guide to prompting AI (for what it is worth)
- Being “good at prompting” is a temporary state of affairs. The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing.
- By breaking the pattern, you can get much more useful and interesting outputs. The easiest way to do that is to provide context and constraints.
-
Be creative/make any assumptions you need. This will tend to remove some of the constraints of practicality around AI answers, and can be useful if you are trying to generate something novel.
Show your work/provide sources/go step-by-step. The AI will make up information that it does not have access to. There is some evidence that asking it to show its work, or its sources, reduces that risk somewhat. Even if it doesn’t, it can make checking work easier.
Write me code and tell me how to use it. If you can’t code, you might be able to now. AI can do some amazing things with Python programs, and tell you exactly how to run it. I don’t know coding, but I have written a dozen Python programs in the last month. If there are errors in the code, and there likely will be, just give them to the AI to correct.
Write a draft/provide an example. If the AI refuses to do something (“you should be creative and write your own novel, I can’t help”, sometimes asking it to provide something like a draft can get it to produce results.
- Another bit of sorcery: After it gives you an answer, ask it to critique its own response, poke holes in it, then ask it to improve its response based on that critique.
-
-
(2) How to... use ChatGPT to boost your writing
- More elaborate and specific prompts work better.
- But as a tool to jumpstart your own writing, multiply your productivity, and to help overcome the inertia associated with staring at a blank page, it is amazing.
-
-
(2) Power and Weirdness: How to Use Bing AI - by Ethan Mollick
"You should make sure you are forcing Bing to look something up with every query. Things that have worked for me include prompts like First research ____. Then do ____ or else prompts like Look up ____ on Reddit/in academic papers/in the news. Then use that to ____. Either way, you want to trigger the “searching for” label to get good results. "
- You should make sure you are forcing Bing to look something up with every query. Things that have worked for me include prompts like First research ____. Then do ____ or else prompts like Look up ____ on Reddit/in academic papers/in the news. Then use that to ____. Either way, you want to trigger the “searching for” label to get good results.
- Indeed, Bing is at its most powerful, and most different from ChatGPT, when it is looking up data and connecting diverse sets of information together. It is often a startling good data analyst, marketer, and general business companion.
- One trick for using its power is to ask it for charts that pull together lots of information. Analyze the market for alternative milk products. provide a chart with each product, how it is made, its cost per liter, and its market size.
- AIs work best if you go through the logic of what you want step-by-step.
- It can take practice, but this approach allows you to “teach” Bing by asking it learn about topics, and then show you its progress as it works.
- I can have it walk me through a simulated design thinking session (see below), or compare translations of poetry, or design new products, or do a SWOT analysis, and so much more.
- The Bing chatbot, formerly known to some as Sydney
- Because the process includes randomness, you may need to reset the chat several times (using the little broom icon) to get to a place where the system will work with you. You might also need to rephrase your requests. It is less likely to reject write a sample of a paper or write an imaginary draft paper than write a paper. You will need to experiment.
- Sometimes I will experiment with Bing in one session, write down the prompts that work, and then do a new session with the recorded prompts to better use my six attempts. Bing also lets you pick how “creative” the answers you get are. After experimentation, I would suggest using Balanced when you want to work with numerical data (though Bing is still bad at math and still hallucinates) and Creative for everything else. Precise yields disappointing results.
- Overall, Bing is immensely more powerful than ChatGPT, but also a lot weirder to use.
-
-
- In my position at NYU Stern, I think a lot about the future of education.
DO THIS: Tell ChatGPT to act as if it was giving a TED talk one year after the release of ChatGPT4. I asked the talk to be about the future of the MBA. ChatGPT talked about real time case studies, optimized research, and so on. I asked for 5 examples of one prediction around “personalized curriculum.” It detailed AI-driven skill assessment, adaptive learning modules, etc. Amazing. - Having trouble hiring the right person?
DO THIS: Detail to ChatGPT the exact responsibilities of the person you need. Stop guessing what characteristics you should interview for, or what questions to ask, or what job simulation you should give them. ChatGPT will give you a detailed list of qualities to look for.
-
Saturday, April 22, 2023
Weekly Sporto bookmarks (weekly)
-
Secret Cyborgs: The Present Disruption in Three Papers
"With these potential productivity gains, every company should be spending a significant amount of their best employees time - right now! - figuring out how to use AI to improve performance."
- In fact, anecdotal evidence has suggested that productivity improvements of 30%-80% are not uncommon across a wide variety of fields, from game design to HR
- This is in large contrast to the long-standing belief that AI and automation would first come for dangerous and repetitive work. Instead, it is some of the most highly skilled and highly paid jobs that face the most exposure to AI.
- AI can increase productivity for workers in fields where automation and economies of scale were previously very rare. These jobs often require more autonomy and encompass multiple types of tasks (teachers need to prep lessons, grade, write letters of recommendation, run classes, respond to parents, run after school programs, do administrative work, etc.). With the power to outsource the most annoying and time consuming parts of their jobs, workers in these industries are highly incentivized to adopt AI quickly, either to do less work or to be able to bill out more work themselves. It is a recipe for rapid adoption at the individual level.
- With these potential productivity gains, every company should be spending a significant amount of their best employees time - right now! - figuring out how to use AI to improve performance.
- And every worker should be spending time figuring out how to use these general-purpose tools to their advantage. They should be thinking about how to automate their job to remove the tedious and uncreative parts, and getting a sense for the disruption to come before the organizations they work for realize the full implications of AI.
-
Saturday, April 15, 2023
Weekly Sporto bookmarks (weekly)
-
ChatGPT, cuéntanos, ¿cuál es el futuro del trabajo? - Factor Trabajo
"En resumen, el futuro del trabajo probablemente estará marcado por la automatización y la tecnologÃa, la flexibilidad laboral, la colaboración y el trabajo en equipo, la actualización constante de habilidades y conocimientos, y la importancia de crear trabajos sostenibles y con impacto positivo."
-
Research Whitepaper: Digital Micro-Credential Efficacy and Impact on Learner Confidence
-
Three Ways I’m Using Generative AI at Work
"Using ChatGPT, I input my Discovery data and ask it to design me a course outline."
-
- So, I’ve I have been playing with Tome.app, specifically it’s new “document to presentation” beta feature which - as the name suggests - creates AI-generated slides from design documents.
-
Saturday, April 8, 2023
Weekly Sporto bookmarks (weekly)
-
How Will ChatGPT Impact Higher Education? - K16 Solutions
-
- Personalizing the learning experience
- Improving teaching and grading efficiencies
- Bolstering accessibility and flexibility
- For example, ChatGPT can ask students questions about their learning preferences and adapt its content accordingly. If a student prefers visual aids, ChatGPT can provide more diagrams and images to help explain a concept.
- assist faculty with time-consuming tasks
- a convenient and flexible learning experience
-
- Faculty and students could become over-reliant on AI
- Critical thinking skills could diminish
- Answers could contain bias and errors
-
Saturday, March 18, 2023
Saturday, March 11, 2023
Weekly Sporto bookmarks (weekly)
-
(3) Maximizing Productivity with ChatGPT Macros: Tips and Best Practices | LinkedIn
-
EDUCAUSE QuickPoll Results: Did ChatGPT Write This Report? | EDUCAUSE
-
https://the-decoder.com/chatgpt-guide-five-basic-prompt-strategies-for-better-results/
-
What is Markdown & How It Can Help You Write Faster
"Getting back to its roots, Markdown is essentially used to convert plain text into HTML."
-
- Getting back to its roots, Markdown is essentially used to convert plain text into HTML.
-
-
-
How Costco Convinces Brands to Cannibalize Themselves - Napkin Math - Every
-
The Case for Full Spectrum “Inclusive” Credentials | Littoraly Don
Saturday, March 4, 2023
Weekly Sporto bookmarks (weekly)
-
Knowledge Base In AI: What is it and why do you need one? | KMS Lighthouse
"Knowledge Base In AI: What is it and why do you need one?"
- A knowledge base in artificial intelligence aims to capture human expert knowledge to support decision-making, problem-solving, and more. Through the years, knowledge base systems have been developed to support many organizational processes.
-
- Perception
- Learning
- Knowledge representation and reasoning
AI provides the mechanisms that enable machines to “gain knowledge.” It allows them to acquire, process, and use knowledge to perform tasks that display “intelligent” behavior, such as:
- Knowledge is the collection of skills and information a person’s acquired through experience. Knowing how to apply that knowledge to problem- solving and decision-making is intelligence
- A great illustration of knowledge-based AI is AI-powered customer service. When finding a solution to a customer’s problem, customer support agents often search multiple sources of information and seek advice from one or more experts. AI simplifies the process by using keywords and phrases to quickly scour dozens, if not hundreds, of various types of information to speedily answer an agent’s question.
- The fundamental characteristics of an AI-powered knowledge base include:
- Accurate and relevant content
- A consistent voice.
- Faster service
- Simplification
- Improved collaboration
- 4 Key Benefits of Knowledge Base In Artificial Intelligence
- Simplifying knowledge discovery.
- Connecting data from disparate sources.
- Keeping your knowledge base content up-to-date.
- Providing important knowledge management metrics.
-
-
ChatGPT And Generative AI: What This Technology Means For Today’s CIO
- It starts with an understanding that ChatGPT is different from the AI of the past few years, with more advanced natural language processing abilities and a more robust capacity to learn from prompts and fine-tuning.
- from simple help-desk bots to larger solutions that replace entire outbound sales teams.
- Focus on processes that can be optimized with AI and ML, then estimate what business value these improvements could drive.
- As teams evaluate these vendors and their solutions, it will be imperative to understand which solutions are truly leveraging this new generative AI capability and which are just jumping on the AI bandwagon.
- they’ll have to assess the specific infrastructure needed, navigate commercial licensing and resource the team correctly to train the models
- Not only is AI useless without data, but it’s just as useless with the wrong data. Ensuring that the solution gets the right inputs will depend on each company’s needs, of course, but every business will need the right architecture, data model, resources, prompts and training.
- Generative AI will replace some jobs. So what happens to the people performing those jobs today?
- I would imagine that we’ll see a similar fundamental shift over time in all types of roles and functions, from call center agents to engineers.
- how generative AI will be regulated, as well as its impact on an individual’s data privacy and security
- The fact remains, though, that technology always moves faster than governing bodies, so where we will land remains to be seen.
- drive business value while also maintaining trust
-
-
How artificial intelligence can support knowledge management in organizations – RealKM
- How artificial intelligence can support knowledge management in organizations
- this article was published in Jan 2023, so it does not include specifics about ChatGPT.
- AI identified as one of eight emerging innovative concepts in KM.
- The potential role for AI in supporting fundamental dimensions of KM: creation, storage and retrieval, sharing, and application of knowledge
- Practical ways to build the partnership between humans and AI in supporting organizational KM activities
- Implications for the development and management of AI systems based on the components of people, infrastructures, and processes.
- creating, storing and retrieving, sharing, and applying knowledge.
- This table is an excellent reference.
- Harvesting, classifying, organizing, storing, and retrieving explicit knowledge
-
- Analyzing and filtering multiple channels of content and communication
- Facilitating knowledge reuse by teams and individuals
- Retrieve dispersed nuggets of information related to a troubleshooting situation
- Connecting people working on the same issues by fostering weak ties and know-who
- Facilitating collaborative intelligence and shared organizational memory
- Creating more coordinated, connected systems across organizational silos
- Enhancing situated knowledge application by searching and preparing knowledge sources
- knowledge production and management are inherently human-centered
- Therefore, they propose that the most effective roles assigned to AI in KM will mostly augment humans rather than replace them, thereby achieving collaborative intelligence in which AI and humans enhance each other’s complementary strengths.
- This also aligns with the findings of a previous paper that explored combining humans and AI for organizational decision-making under uncertainty.
- Figure 1,
- this is an excellent reference table.
- An emerging genre of AI systems called personal intelligent assistants can occupy a unique position in personal KM.
- Information overload is one of the key challenges of the information environment for knowledge workers. Personal intelligent assistants can help broaden the cognitive bandwidth of knowledge workers and change the way they digest relevant knowledge by providing more effective capabilities for processing, filtering, sorting, and navigating information resources.
- ChatGPT definitely fits into the personal assistant conceptual model.
- AI presents specialized intelligence that enables sensing the environment, learning from experience, and creating possibilities for action in relation to specific task contexts. General intelligence, however, remains a human-centered characteristic
- Specifically, the application of knowledge for strategic-level thinking and decision-making requires elements of general intelligence, and builds from the uniquely human prerogatives such as foresight, social and emotional intelligence, self-development, imagination, and curiosity.
- Two dimensions of KM can be supported by IT uses: codification of knowledge and human collaboration.
- streamline the tasks of collecting, classifying, analyzing, and presenting content, and in doing so, free up knowledge workers for higher value-added tasks
- In regard to collaboration, AI technologies provide great capabilities for generating know-who (i.e., sources of expertise) within and across organizational boundaries and for extending and augmenting knowledge networks
- ransferring tacit knowledge remains a highly human-centered practice, and attempts to turn inherently tacit knowledge into explicit knowledge and to facilitate its transfer through technological mechanisms have failed in the past.
- AI systems can now self-learn to develop and improve know-how and know-what, offering more effective outputs as they process new data. However, this self-learning makes it difficult, if not impossible, to explain the inferences generated by the black box of AI. This is a particularly serious problem in evidence-based fields such as medicine and law, where there are clear obligations for explaining how AI systems may weigh the inputs they receive to inform certain recommendations
- the role of humans is indispensable in formulating know-why for AI-based inferences; know-why is essential for alleviating the black box of AI, justifying decisions, training budding human experts, and garnering organizational support.
- But years of research indicates that for an IT deployment to be successful, there need to be accompanying organizational changes.
- the value of AI for KM lies not only in technology, but also in new infrastructures, trained people, and redesigned processes.
- a symbiotic relationship, one that both recognizes the irreplaceable contributions of humans to knowledge work and that seeks ways to reinvent and elevate their role. One way in which AI can elevate knowledge workers is through reskilling and upskilling.
- knowledge scientists and data scientists, who collect and prepare training data sets for machine learning algorithms. Knowledge scientists can contribute to the process of combining the two distinct AI strategies – symbolic AI (using more traditional approaches) and statistical AI (based on neural networks) – by helping to build knowledge graphs that represent background knowledge and that complement training data
- AI champions can be instrumental in presenting an alternative narrative that emphasizes augmenting knowledge workers rather than replacing them – an alternative narrative that describes the expected improvement in the kinds of tasks knowledge workers perform.
- workers will need to learn how to interact with intelligent systems rather than with humans for many of these tasks
- AI literacy is a key component needed for upskilling both managers and workers interacting with AI systems
- This requires knowledge workers to develop a fuller appreciation of their artificial counterparts
- Deep-learning approaches, for example, require rather large sets of training data to produce reliable outcomes.
- data are dynamically being generated in real time, and most such data are unstructured
- Knowledge graphs are an emerging way in which organizations can harness this data
- Designing for mutual learning recognizes the limits of the AI system in managing knowledge and precipitates the need for constant auditing and involvement of human supervisors
- The redesign of workflows and the identification of ways in which algorithms’ recommendations can augment various knowledge activities require a continual conversation and negotiation between technology and domain experts
- Elevating humans necessitates that organizations look for opportunities to free knowledge workers from arduous and monotonous work by automating it.
-
-
The Connection between Artificial Intelligence and Knowledge Management | KMInstitute
- KM and AI at its core is about knowledge. AI provides the mechanisms to enable machines to learn. AI allows machines to acquire, process and use knowledge to perform tasks and to unlock knowledge that can be delivered to humans to improve the decision-making process. I believe that AI and KM are two sides of the same coin. KM allows an understanding of knowledge to occur, while AI provides the capabilities to expand, use, and create knowledge in ways we have not yet imagined.
-
-
How Artificial Intelligence Can Improve Organizational Decision Making
- organizations should be able to achieve organizational agility powered by AI.
- There are multiple examples of implementing AI in the supply chain, transportation, education, operations, marketing, and pretty much every industry that’s moving toward digitalization, and switching from manual activities to technology-assisted ones.
-
-
Knowledge Base In AI: What is it and why do you need one? | KMS Lighthouse
-
Leveraging Artificial Intelligence in knowledge management - Document360
-
AI Ethics and its Impact on Knowledge Management | For Librarians | Springer Nature
-
Are You Ready for the Era of Co-Creation With AI? | Built In
"Are You Ready for the Era of Co-Creation With AI?"
- Artificial intelligence is unlikely to replace humans who work in creative fields anytime soon, but it is rapidly changing the landscape. Designers, developers, and copywriters who embrace AI the use of AI tools in their work will gain a competitive edge in their careers.
- Co-creation with AI refers to the practice of humans and machines working together to create something new or to solve a problem.
- AI can be a great co-creator, improving the efficiency of designers and developers, but it still requires a human moderator to review its output. The moderator should have relevant experience in the field to evaluate and refine the result.
- AI tools can streamline the ideation process
-