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AI-Fakes Detection Is Failing Voters in the Global South

Explore the challenges and biases in AI-fakes detection and their impact on voters in the Global South.

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AI-fakes detection

TL;DR:

  • AI-generated content detection tools often fail in the Global South due to biases in training data.
  • Detection tools prioritise Western languages and faces, leading to inaccuracies in other regions.
  • The lack of local data and infrastructure hampers the development of effective detection tools.

Artificial Intelligence (AI) is transforming the world, but it’s not always for the better. As generative AI becomes more common, so does the challenge of detecting AI-generated content, especially in the Global South. This article explores the issues and biases in AI-fakes detection and how they impact voters in these regions.

The Rise of AI-Generated Content

AI can create convincing images, videos, and text. This technology is often used in politics. For example, former US President Donald Trump shared AI-generated photos of Taylor Swift fans supporting him. Tools like True Media’s detection tool can spot these fakes, but it’s not always that simple.

The Detection Gap in the Global South

Detecting AI-generated content is harder in the Global South. Most detection tools are trained on Western data, so they struggle with content from other regions. This leads to many false positives and negatives.

Biases in Training Data

AI models are usually trained on data from Western markets. This means they recognise Western faces and English language better. “They prioritized English language—US-accented English—or faces predominant in the Western world,” says Sam Gregory from the nonprofit Witness.

Lack of Local Data

In many parts of the Global South, data is not digitised. This makes it hard to train AI models on local content. “Most of our data, actually, from [Africa] is in hard copy,” says Richard Ngamita from Thraets.

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Low-Quality Media

Many people in the Global South use cheap smartphones that produce low-quality photos and videos. This confuses detection models. “A lot of the initial deepfake detection tools were trained on high quality media,” says Gregory.

The Impact of Faulty Detection

False positives and negatives can have serious consequences. They can lead to wrong policies and crackdowns on imaginary problems. “There’s a huge risk in terms of inflating those kinds of numbers,” says Sabhanaz Rashid Diya from the Tech Global Institute.

The Challenge of Cheapfakes

Cheapfakes are simple edits that can be mistaken for AI-generated content. They are common in the Global South but can fool detection tools and untrained researchers.

The Struggle to Build Local Solutions

Building local detection tools is hard. It requires access to energy and data centres, which are not always available in the Global South. “If you talk about AI and local solutions here, it’s almost impossible without the compute side of things for us to even run any of our models that we are thinking about coming up with,” says Ngamita.

Prompt: Imagine You Are a Journalist in the Global South

Rationale: This prompt encourages empathy and understanding of the challenges journalists face in the Global South.

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Prompt: Imagine you are a journalist in the Global South. You receive a tip about a political candidate using AI-generated content to sway voters. How would you investigate this story with the current detection tools? What challenges would you face?

The Need for Better Tools

The current detection tools are not good enough. They need to be trained on more diverse data and work with low-quality media. This will help protect voters in the Global South from AI-generated disinformation.

The Future of AI-Fakes Detection

The future of AI-fakes detection depends on better tools and more local data. It also depends on global cooperation to share resources and knowledge. This can help close the detection gap and protect voters worldwide.

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What do you think is the biggest challenge in detecting AI-generated content in the Global South? How can we overcome these challenges? Share your thoughts and experiences below. Don’t forget to subscribe for updates on AI and AGI developments.

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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.

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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.

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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.

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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.

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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.

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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.

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  • 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.

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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.

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


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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.

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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%.

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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!

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  • To learn more about Capco tap here.


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