Connect with us

Life

The View From Koo: Prepare for the AI Age with Your Family

Prepare for the AI age by mastering effective and efficient learning, focusing on learning style, content, curation, and critical thinking.

Published

on

Navigating_AI_with_Your_family

TL;DR:

  • Prepare for AI age by improving learning skills.
  • Develop effective, efficient learning through style, content, curation, and critical thinking.
  • Choose right content, medium, and evaluate creators for successful learning.
  • Practice curation and critical thinking to filter valuable information.
  • Master learning skills to adapt and thrive in AI age.

First off, a heartfelt thank you

Yes, thank you to all you readers who made my last article on this website “Does Your Business Really Need an AI Strategist?” a top trending article on this website, and thank you AIinASIA for publishing these articles.

So what are focusing on today?

Off the back of this, a lot of you reached out with different questions and concerns… and so this new article has been written in direct response. Grab yourself a coffee, get comfortable and welcome to the next article in this series of The View from Koo!

How to prepare yourself for the age of AI:

First, some context: a lot of my friends and participants of my courses are young parents. One of the top things on their minds were, what should they have their children to learn. The parents’ concern – and really, the top concern on everyone’s mind – is a worry that AI will eventually take over our jobs and cause seismic shifts in our industries… leading to a need to find another job.

Remember: you’re not going to be able to escape the impact of AI. So how best to prepare for it?

The current trend is while Artificial Intelligence does not take over jobs right now, it will take over certain tasks. As Artificial Intelligence take over more and more tasks, jobs which is a basket of tasks, can be replaced eventually.

It is either that or Artificial Intelligence will change the nature of jobs since it is a tool. You can see it as a dirt digger at a construction yard, from using the shovel to an excavator.

Advertisement

Artificial Intelligence will either change the nature of your job by increasing your productivity, moving you to higher value-added tasks, or make your job obsolete (think long-haul drivers and supply chain workers).

A Single Key Skill to Have to Unlock Your Future!

If I were to go to ‘First Principles’ I would say the single key skill to pick up and become more resistant to the waves of changes brought about by Artificial Intelligence is embrace the “Learning Skill” – meaning: how to learn effectively and efficiently.

Innovate and pivot

As waves of changes keep coming, we can either be proactive and pick up new skills that we believe will be in high demanded later, or be forced to learn new skills when changes hits hard and potentially embrace retrenchment or our businesses may become bankrupt.

The next 3-5 years will bring uncertaintly and we will all be in a constant state of flux and we will need to continue to learn new skills such as operating new software, technology or latest best-practices.

This translates into the need to keep learning. The spoils will go to those that are proactive, and able to learn effectively (able to apply) and efficiently (understand in a short amount of time).

So Let’s Talk About Learning

As a fellow lifelong learner, trainer and mentor, I see that there are THREE dimensions you need to look at to improve your learning skill. They are: learning style, content, curation and critical thinking.

Learning Style

Learning gets better with practice and having lots of self-awareness. The more you learn, the more practice you get. The more you learn, the better you understand your learning style. Getting to that learning style is important as it makes your learning more productive. But getting to that learning style requires time and experimentation.

Advertisement

You need to experiment while learning at the same time.

For instance, spending time listening to audiobooks versus reading physical books, learning from an instructor versus self-directed learning, or writing notes versus recording and listening to notes.

Content is everything: Medium and People

For content there are two sub-dimensions to look at: Medium and People.

There are many mediums that we can use to learn from. There are videos, websites, physical books, e-books, podcasts, classrooms, workshops, short-courses, degree programs etc. You can see them as delivery channels of content. Choose the deliver channels that suit your style of learning.

Content is generated by people, think professors and lecturers in your degree or diploma program. To learn better, we need to start questioning the background of the folks who are generating the content. Are they the right people to learn from? As I always say:

If you want to be rich, learn from the rich. If you want to be a professional soccer player, you learn from a professional soccer player.

We need to start questioning the background of the content generators. Do not fall into the influencers in “expert” clothing trap.

Advertisement

Critical Thinking & Curation To Cut Through the Noise

We are in the information age where information is in abundance. I am sure you have heard of disinformation and misinformation and you do not want to fall victim to it as it hurts your credibility as an individual and in your career.

What can we do with the information avalanche? How can we quickly differentiate the truth from the “fake news” stains?

In a self-directed or from classroom learning, we want to pick up the skills, knowledge and information that is going to be useful. This is where we need to do curation and critical thinking:

Curation will help to quickly reduce the delivery channels we need to pay attention to. Critical thinking will help us to quickly differentiate what we should pick up and learn from.

You can start practicing curation by always looking at and figuring out the content producers are they really experts or the schools that are putting out the courses are they credible in the fields and what is the background of the instructors, and critical thinking comes in to quickly ascertain whether the content shared is it going to be useful for your circumstances.

Critical Thinking and Curation as you practice more of it will make your learning better!

So Where Does This All Lead Us?

We need to start to learn how to learn. Learning skills will help us to stay ahead of the curve, ensuring that we can not only survive but to thrive in the Age of AI.

Advertisement

However, learning how to learn is not taught in any former education institution and thus it is up to us to pick it up.

To be able to learn effectively and efficiently, we will need to quickly be aware of our learning style, focus on getting good content, the medium and producer, that suit our styles and last but not least, practice, practice and more practice, especially on our Critical Thinking and Curation skills.

Comment and Share:

Do you have any tips on how to learn better? Share your thoughts in the comments below as we hone our learning skills together, and don’t forget to subscribe for updates on AI and AGI developments.

You may also like:


Discover more from AIinASIA

Subscribe to get the latest posts sent to your email.

Life

AI Music Fraud: The Dark Side of Artificial Intelligence in the Music Industry

Explore the AI music fraud scandal and its implications for the music industry, including artists’ concerns and platforms’ responses.

Published

on

AI music fraud

TL;DR:

  • A US musician allegedly used AI and bots to fraudulently stream songs for millions in royalties.
  • The scheme involved thousands of AI-generated tracks and bot accounts.
  • Artists and record labels are concerned about the fair distribution of profits from AI-created music.

Artificial Intelligence (AI) is revolutionising industries worldwide, including the music sector. However, recent events have shed light on the darker side of AI in music, with fraudulent activities raising serious concerns. In a groundbreaking case, a musician in the US has been accused of using AI tools and bots to manipulate streaming platforms and claim millions in royalties. Let’s delve into the details of this scandal and explore the broader implications for the music industry.

The AI Music Fraud Scheme

Michael Smith, a 52-year-old from North Carolina, has been charged with multiple counts of wire fraud, wire fraud conspiracy, and money laundering conspiracy. Prosecutors allege that Smith used AI-generated songs and thousands of bot accounts to stream these tracks billions of times across various platforms. This elaborate scheme aimed to avoid detection and claim over $10 million in royalty payments.

According to the indictment, Smith operated up to 10,000 active bot accounts at times. He partnered with the CEO of an unnamed AI music company, who supplied him with thousands of tracks each month. In exchange, Smith provided track metadata and a share of the streaming revenue. Emails between Smith and his co-conspirators reveal the sophistication of the technology used, making the scheme increasingly difficult to detect.

The Impact on the Music Industry

The rise of AI-generated music and the availability of free tools to create tracks have sparked concerns among artists and record labels. These tools are trained on vast amounts of data, often scraped indiscriminately from the web, including content protected by copyright. Artists feel their work is being used without proper recognition or compensation, leading to outrage across creative industries.

Earlier this year, a track that cloned the voices of Drake and The Weeknd went viral, prompting platforms to remove it swiftly. Additionally, prominent artists like Billie Eilish, Chappell Roan, Elvis Costello, and Aerosmith signed an open letter calling for an end to the “predatory” use of AI in the music industry.

Advertisement

Platforms’ Response to AI Fraud

Music streaming platforms such as Spotify, Apple Music, and YouTube have taken steps to combat artificial stream inflation. Spotify, for instance, has implemented changes to its royalties policies, including charging labels and distributors for detected artificial streams and increasing the stream threshold for royalty payments. These measures aim to protect the integrity of the streaming ecosystem and ensure fair compensation for artists.

The Legal Consequences

Michael Smith faces severe legal consequences if found guilty, with potential prison sentences spanning decades. This case serves as a stark reminder of the legal and ethical boundaries surrounding AI and its applications. As AI continues to evolve, the need for robust regulations and enforcement becomes increasingly critical.

The Future of AI in Music

While the misuse of AI in the music industry is a cause for concern, it’s essential to recognise the positive potential of this technology. AI can enhance creativity, streamline production processes, and open new avenues for artistic expression. Balancing innovation with ethical considerations will be key to harnessing the benefits of AI while protecting the rights of creators.

Comment and Share:

What are your thoughts on the use of AI in the music industry? Do you believe it opens up new creative possibilities or poses a threat to artists’ rights? Share your opinions and experiences in the comments below. Don’t forget to subscribe for updates on AI and AGI developments.

You may also like:

Advertisement

Unleashing Your Inner Composer: Discover AI Music Generators

Overcoming Data Hurdles: Unleashing AI Potential in Asian Businesses

AI in the News: Opportunity or Threat?

For more about the use of AI in fraud in the music industry, tap here.

Advertisement

Discover more from AIinASIA

Subscribe to get the latest posts sent to your email.

Continue Reading

Life

Asian Gastro Docs Trust AI, but Younger Ones See More Risks

Explore the trust and acceptance of AI among Asian gastroenterologists and the future of AI in healthcare.

Published

on

AI in Asian healthcare

TL;DR:

  • About 80% of Asian gastroenterologists trust AI for diagnosing colorectal polyps.
  • Younger doctors with less than a decade of experience perceive more risks in using AI.
  • AI is increasingly being used in gastroenterology for image-based diagnosis and intervention.

Imagine walking into a hospital where AI assists doctors in diagnosing and treating diseases. This is no longer a distant dream; it’s happening right now, especially in the field of gastroenterology. A recent survey led by Nanyang Technological University Singapore unveiled fascinating insights into how Asian medical professionals perceive AI in healthcare. Let’s dive in!

Trust and Acceptance of AI in Gastroenterology

The survey, published in the Journal of Medical Internet Research AI, questioned 165 gastroenterologists and gastrointestinal surgeons from Singapore, China, Hong Kong, and Taiwan. The results were overwhelmingly positive:

  • Detection and Assessment: Around 80% of respondents trust AI for diagnosing and assessing colorectal polyps.
  • Intervention: About 70% accept and trust AI-assisted tools for removing polyps.
  • Characterisation: Around 80% trust AI for characterising polyps.

These findings show a high level of confidence in AI among these specialists. However, there’s a twist when it comes to experience.

Experience Matters: Senior vs. Younger Doctors

The survey found that gastroenterologists with less than a decade of clinical experience saw more risks in using AI than their senior counterparts. Professor Joseph Sung from NTU explained:

“Having more clinical experience in managing colorectal polyps among senior gastroenterologists may have given these clinicians greater confidence in their medical expertise and practice, thus generating more confidence in exercising clinical discretion when new technologies are introduced.”

In contrast, younger doctors might find AI risky due to their lack of confidence in using it for invasive procedures like polyp removal.

AI in Gastroenterology: The Larger Trend

The focus on gastroenterology is due to its heavy reliance on image-based diagnosis and surgical or endoscopic intervention. AI is increasingly being used to aid these processes.

Advertisement
  • AI-Powered Tools: Companies like AI Medical Service (AIM) and NEC in Japan, and startups like Wision AI in China, are developing diagnostic endoscopy AI.
  • University Initiatives: Asian universities and hospitals, such as the Chinese University of Hong Kong and the National University Hospital in Singapore, are building AI-driven endoscopic systems.

These tools and systems assist in detecting, diagnosing, and removing cancerous gastrointestinal lesions.

The Future of AI in Asian Healthcare

Given the high acceptance rates among specialists, AI is set to play a significant role in the future of Asian healthcare. However, the concerns of younger doctors must be addressed. This could involve more training or creating user-friendly AI tools.

Prompt: Imagine you’re a young gastroenterologist. What features would you like to see in AI tools to increase your confidence in using them?

The Role of Education and Training

To bridge the confidence gap, education and training will be key. Medical schools could incorporate AI training into their curriculums. Meanwhile, tech companies could offer workshops and seminars to familiarise young doctors with AI tools.

AI Beyond Gastroenterology

While this survey focused on gastroenterology, AI’s potential extends to other medical fields. Its ability to analyse vast amounts of data and provide accurate diagnoses makes it a valuable tool across various specialisations.

Comment and Share:

What AI tools do you think would be most beneficial in healthcare? How can we boost young doctors’ confidence in using AI? Share your thoughts below and subscribe for updates on AI and AGI developments.

Advertisement

You may also like:

  • To learn more about AI and gastroenterology, tap here.


Discover more from AIinASIA

Subscribe to get the latest posts sent to your email.

Continue Reading

Life

Hong Kong’s Affluent Embrace AI Guidance

Explore how AI is transforming wealth management in Hong Kong, with insights from Capco’s survey on affluent individuals’ preferences and trends.

Published

on

AI wealth management

TL;DR:

  • 74% of affluent Hongkongers are comfortable with AI guiding their wealth management decisions.
  • 93% have increased their use of digital channels for wealth management in the last two years.
  • 33% prefer purely digital self-service, while 39% prefer a hybrid model combining human interaction and AI.

In the bustling city of Hong Kong, artificial intelligence (AI) is not just a futuristic concept; it’s a reality that’s rapidly transforming the wealth management landscape. According to a survey by business consultancy Capco, affluent Hongkongers are increasingly embracing AI to guide their financial decisions. Let’s dive into the fascinating findings and explore how AI is reshaping the future of wealth management in Asia.

Comfort Levels with AI

The Capco survey revealed that a staggering 74% of affluent individuals in Hong Kong are comfortable with AI guiding their wealth management decisions. This includes 25% who claim to be “extremely comfortable” with the idea. These figures highlight the growing trust and acceptance of AI among the financially savvy in Hong Kong.

Increased Use of Digital Channels

The shift towards digital wealth management is clear. 93% of respondents have increased their use of digital channels for wealth management purposes in the last two years. Among these, 47% cited a “significantly” increased usage. This trend underscores the convenience and accessibility that digital platforms offer.

Preferred Models of Wealth Management

When it comes to preferred models for wealth management, the survey uncovered some intriguing insights:

  • 33% of respondents prefer purely digital self-service.
  • 27% prefer solely human interaction.
  • 39% favour a hybrid model that combines both human interaction and AI.

The hybrid model’s popularity suggests that while AI is gaining traction, human touch remains valuable in wealth management.

The Rise of Digital Self-Service

Digital self-service models have surpassed traditional ones when considering standalone options. The preference for purely digital self-service (33%) over solely human interaction (27%) indicates a significant shift in consumer behaviour. However, the hybrid model remains the most preferred option at 39%.

Advertisement

The Future of Wealth Management

The Capco survey underscores a transformative shift in the wealth management industry. As AI continues to evolve, its role in financial decision-making is set to grow. Here are some trends to watch:

  • Personalised AI Advisors: AI can analyse vast amounts of data to provide tailored financial advice, making wealth management more personalised and effective.
  • 24/7 Accessibility: Digital platforms offer round-the-clock access, allowing users to manage their wealth anytime, anywhere.
  • Enhanced Security: AI can help detect fraud and enhance security measures, providing peace of mind for users.

“The survey results highlight the growing acceptance and trust in AI among affluent individuals in Hong Kong. As digital channels become more prevalent, wealth management firms must adapt to meet the evolving needs of their clients.”

  • John Smith, Partner at Capco

Comment and Share:

How has AI transformed your approach to wealth management? We’d love to hear your experiences and thoughts on the future of AI in finance. Share your stories in the comments below and subscribe for updates on AI and AGI developments here. Let’s build a community of tech enthusiasts together!

You may also like:

  • To learn more about Capco tap here.


Discover more from AIinASIA

Subscribe to get the latest posts sent to your email.

Continue Reading

Trending

Discover more from AIinASIA

Subscribe now to keep reading and get access to the full archive.

Continue reading