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Why Southeast Asia Needs to Collectively Harness AI

Why Southeast Asia Needs to Collectively Harness AI

Artificial intelligence is revolutionizing the global landscape, presenting both new possibilities and challenges across multiple sectors. The swift adoption of AI technology brings to the fore critical ethical, societal, and legal considerations that necessitate thoughtful regulation. In the culturally, economically, and politically varied terrain of Southeast Asia, the development of AI governance is a multifaceted and pressing endeavor requiring collaboration among diverse stakeholders.

As a vibrant and burgeoning region, Southeast Asia boasts over 650 million inhabitants and a collective GDP of $3.2 trillion. The region has rapidly adopted digital innovation, a trend that the pandemic has significantly bolstered, escalating the demand for, and provision of, digital services and solutions. AI stands at the forefront of this technological leap, offering enhanced capabilities and efficiencies across numerous fields, including e-commerce, financial technology, healthcare, education, agriculture, and the development of intelligent urban infrastructure.

According to a report, AI could significantly boost Southeast Asia’s economy, potentially increasing GDP by 10 to 18 percent by 2030, which translates to an increase of nearly $1 trillion. Further research by IDC underscores AI’s pivotal role in regional business, with 83% of Southeast Asian business leaders affirming its critical importance for competitiveness. Additionally, AI is recognized as a catalyst for societal benefits, with 86% of business leaders and 77% of workers in the region confident that AI will help overcome social challenges and enhance citizens’ quality of life.

Nonetheless, several obstacles impede the full realization of AI’s potential in Southeast Asia. These barriers include a scarcity of AI expertise and talent, insufficient awareness and trust in AI, subpar data quality and governance, and inadequate infrastructure and digital connectivity. Consistent among various studies is the consensus on the necessity for a robust, cohesive AI regulatory framework. Such a framework should tackle AI’s ethical, social, and legal challenges, including issues related to privacy, security, accountability, transparency, fairness, and human rights.

Regulating AI is a nuanced task that encompasses multiple aspects, including technical, legal, ethical, social, and economic dimensions. The approach to AI regulation must consider the varying contexts, purposes, and impacts of AI applications, as well as the differing values, norms, and interests of stakeholders like governments, businesses, civil society, academia, and end-users. Developing AI regulations calls for a measured approach that safeguards AI’s safety, security, and trustworthiness while promoting its innovation, competitive edge, and inclusivity.

Formulating AI regulations in Southeast Asia offers distinct challenges and opportunities. A primary challenge is the lack of a coordinated vision for AI development and governance, leading to potential inconsistencies and disjointed efforts among the region’s nations.

The discrepancy between rapid AI advancements and the slower development of regulations may cause uncertainty and inefficiency. Policymakers and regulators also face a delicate balance between fostering AI innovation and the imperative for regulation, which may lead to complex trade-offs.

Addressing the differing priorities and values of stakeholders on AI ethics, including privacy and human rights, adds to the challenge. Moreover, tackling AI’s transnational elements, such as data sharing and enforcement across borders, adds complexity.

Opportunities are present as well. Regional collaboration could capitalize on collective strengths, resources, and knowledge, promoting shared best practices. Engaging stakeholders in the regulatory process can lend greater legitimacy and effectiveness to AI policies. Additionally, this engagement offers a chance to pilot innovative regulatory approaches like co-regulation or soft law.

Southeast Asia has the potential to lead in AI governance, setting a precedent for other developing regions and contributing a valuable perspective to the global AI discourse.

Given the intricate landscape of AI regulation in Southeast Asia, it’s essential for nations and stakeholders within the region to collaboratively forge a unified and coherent vision and strategy for the development and governance of AI. This shared direction should emphasize a human-centric and value-based regulatory approach, placing human interests, rights, and dignity at the heart of AI’s design, development, and application. It’s vital that AI supports and enhances the values and principles prevalent in Southeast Asian societies, including diversity, inclusivity, and sustainability.

The regulatory framework must also be risk-based and context-specific, assessing the potential and actual risks associated with AI applications and customizing regulations to fit the intended use and potential impact of AI, distinguishing between varying levels of risk.

A comprehensive strategy is necessary, one that spans the entire AI lifecycle from data collection to deployment and monitoring. This strategy should ensure that all AI-related policies and regulations, such as data protection and human rights, are in sync and coordinated.

Incorporating a collaborative and participatory methodology in AI regulation is also important. This means actively involving stakeholders from government, business, civil society, academia, and the user community in the development, implementation, and review of AI policies, fostering a culture of trust, transparency, and accountability.

Lastly, an adaptable and evolutionary approach to AI regulation is crucial, one that continuously monitors and assesses the effectiveness of AI policies and regulations and is flexible enough to update and revise them in response to the fast-paced changes and advancements in AI technology and applications. By adopting such a vision and strategy, Southeast Asia can secure AI’s safety, trustworthiness, and beneficial growth, while also nurturing innovation, competitiveness, and inclusivity.

Southeast Asia’s vibrant growth is increasingly powered by artificial intelligence, which brings both opportunities for expansion and complex ethical considerations. As the region becomes a formidable economic power in a tech-driven world, the development of thorough AI regulations is crucial.

The rise of AI in Southeast Asia heralds transformative prospects, driving sectors forward and hinting at significant economic benefits. However, the region faces challenges like skill gaps, infrastructural deficits, and governance issues that hinder the full benefits of AI, highlighting the need for comprehensive regulations.

Regulating AI in this dynamic region involves navigating a complex web of social, economic, and ethical factors. While the lack of consistent vision among nations, the mismatch between rapid innovation and slow regulatory response, and varied interests among stakeholders add layers of difficulty, these challenges also open doors to collaborative and innovative regulatory approaches.

The path ahead calls for a unified effort to create a regulatory environment that prioritizes human values and is flexible enough to adapt to new developments. By fostering a framework that is rooted in human welfare, context-sensitive risk management, thorough oversight, collective engagement, and responsive governance, Southeast Asia can establish a robust and forward-looking AI governance structure.

Regulating artificial intelligence in Southeast Asia transcends routine compliance; it represents a collaborative venture to maximize the benefits of AI while protecting societal norms and individual freedoms. This collective effort by Southeast Asian countries to tackle the intricacies of AI regulation is not just about ensuring responsible and ethical use but also about establishing the region as a leader in the global discourse on AI governance.

As Southeast Asia progresses, the impact of its collaborative approach to AI regulation will resonate beyond its borders. This initiative is symbolic, showcasing a commitment to balancing technological innovation with ethical standards. It is reshaping the narrative of technological progress to one that aligns with the well-being of society. Through these concerted efforts, Southeast Asia is crafting a story of transformation, one where advances in technology are in step with the enrichment of our human experience.

 

Source: https://intpolicydigest.org/why-southeast-asia-needs-to-collectively-harness-ai/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

www.anndy.com
j j j

2023: A pivotal year for AI evolution – What’s next in 2024 and beyond?

2023: A pivotal year for AI evolution – What’s next in 2024 and beyond?

The year 2023 has been a remarkable one for the development and application of artificial intelligence (AI) across various domains and industries. From healthcare to education, from entertainment to finance, from agriculture to manufacturing, AI has demonstrated its potential to enhance human capabilities, solve complex problems, and create new opportunities. But what is the next big thing in AI? And what can we expect from AI in 2024 and beyond?

I will offer my personal perspective on the current state and the future trends of AI, based on the latest research and data from various sources. I will also discuss the implications and challenges of these trends, and how we can prepare for the impact of AI on our society and economy.

One of the most prominent and promising areas of AI research and innovation is the field of natural language processing (NLP), which enables machines to understand, generate, and communicate natural language. NLP has been advancing rapidly in recent years, thanks to the availability of large-scale datasets, powerful computing resources, and novel deep learning techniques. One of the most notable breakthroughs in NLP is the emergence of large-scale pre-trained language models, such as GPT-3, BERT, and T5, which can perform a wide range of natural language tasks, such as text summarisation, question answering, sentiment analysis, and text generation, with minimal or no task-specific fine-tuning.

One of the most exciting applications of NLP is ChatGPT, a conversational AI system that can chat with users on any topic, using natural and engaging language. ChatGPT is based on GPT-4, a massive language model with 175 billion parameters, trained on a large corpus of web texts, books, news articles, and social media posts. ChatGPT can generate coherent and relevant responses, based on the user’s input and the context of the conversation. It can also switch between different modes, such as balanced, creative, and precise, to suit the user’s preferences and needs. It can also generate graphical artworks, based on the user’s prompt, using an artificial intelligence model that can create realistic and artistic images.

ChatGPT is not only a fun and entertaining tool, but also a powerful and versatile one, that can help users with various tasks, such as writing, rewriting, improving, or optimising their content. ChatGPT can also help users with learning, researching, exploring, or discovering new topics, by providing relevant information, facts, opinions, and insights. It can also help users with expressing, creating, or sharing their ideas, thoughts, feelings, or emotions, by generating poems, stories, code, essays, songs, celebrity parodies, and more, using its own words and knowledge.

It is changing the way we interact with machines, and with each other, by enabling natural and meaningful conversations, and by generating rich and diverse content. It is also changing the way we perceive machines, and ourselves, by showcasing the capabilities and limitations of AI, and by challenging our assumptions and expectations of what machines can and cannot do. It has given us a glimpse into the future of AI, and a reflection of our present.

The potential of ChatGPT is immense, and it is expected to grow exponentially in the coming years, as the technology behind it improves and evolves. MarketsandMarkets published a report in April 2023 saying that the global conversational AI market size is expected to increase from USD 10.7 billion in 2023 to USD 29.8 billion by 2028 with a predicted CAGR of 22.6% during the forecast period. The main drivers of this growth are the increasing demand for natural and personalised user experiences, the availability of big data and cloud computing, the advancement of NLP and deep learning technologies, and the emergence of new use cases and applications.

However, ChatGPT also faces significant challenges and risks, such as the complexity and uncertainty of the system, the security and privacy of the data and conversations, the ethical and social implications of the responses and content, and the regulation and governance of the technology. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for chatgpt, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

The intersection of AI and the Internet of Things (IoT)

Another important and emerging area of AI research and innovation is the intersection of AI and the Internet of Things (IoT). The IoT refers to the network of physical devices, vehicles, appliances, sensors, and other objects that are connected to the internet and can communicate and exchange data with each other. According to Statista, the global IoT market size is expected to reach $1.6 trillion by 2025, with more than 75 billion IoT connected devices worldwide. The IoT enables the collection and analysis of massive amounts of data from various sources, which can provide valuable insights and enable smarter decisions and actions.

However, the IoT also poses significant challenges, such as data security, privacy, interoperability, scalability, and reliability. This is where AI comes in, as a key enabler and enhancer of the IoT. AI can help to process and interpret the data generated by the IoT devices, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to optimize the performance and functionality of the IoT devices, using techniques such as reinforcement learning, federated learning, edge computing, and blockchain. AI can also help to create new applications and services based on the IoT data, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and IoT, also known as AIoT, is creating a new paradigm of intelligent and connected systems that can transform various domains and industries. For example, AIoT can enable smart healthcare, where IoT devices such as wearable sensors, smart implants, and medical robots can monitor, diagnose, and treat patients, while AI algorithms can analyze the data and provide personalised and preventive care. AIoT can also enable smart education, where IoT devices such as smart boards, tablets, and cameras can facilitate interactive and immersive learning, while AI algorithms can provide adaptive and customized feedback and assessment. AIoT can also enable smart entertainment, where IoT devices such as smart TVs, speakers, and gaming consoles can deliver engaging and immersive content, while AI algorithms can provide personalized and contextual recommendations and interactions.

The potential of AIoT is immense, and it is expected to grow exponentially in the coming years. Based on what MarketsandMarkets mentioned, the global AIoT market size is projected to grow from $5 billion in 2023 to a projected reach of $24.9 billion by 2028, at a CAGR of 37.7% in 6 years. The main drivers of this growth are the increasing demand for smart and connected devices, the availability of big data and cloud computing, the advancement of AI and IoT technologies, and the emergence of new use cases and applications.

AIoT also faces significant challenges and risks, such as the complexity and heterogeneity of the systems, the security and privacy of the data, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for AIoT, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

The AI and Crypto combine

Another important and emerging area of AI research and innovation is the intersection of AI and cryptocurrency. Cryptocurrency is a form of digital currency that is not issued by any central authority, but is based on a decentralised network of peer-to-peer transactions that are verified and recorded by cryptography. Cryptocurrency offers advantages such as anonymity, transparency, security, and efficiency, but also faces challenges such as volatility, scalability, usability, and regulation. AI can help to improve and enhance the cryptocurrency ecosystem, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to create new applications and services based on cryptocurrency, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and cryptocurrency, also known as AI crypto, is creating a new paradigm of intelligent and decentralised systems that can transform various domains and industries. For example, AI crypto can enable smart contracts, where cryptocurrency transactions can be executed automatically and securely based on predefined rules and conditions, without the need for intermediaries or trust. AI crypto can also enable smart governance, where cryptocurrency communities can make collective decisions and actions based on the preferences and feedback of the participants, without the need for central authorities or hierarchies. AI crypto can also enable smart finance, where cryptocurrency users can access and manage their assets and liabilities based on the analysis and prediction of the market trends and risks, without the need for traditional financial institutions or intermediaries.

The potential of AI crypto is enormous, and it is expected to grow rapidly in the coming years. The global cryptocurrency market capitalisation is currently around $1.5 trillion, with more than 10,000 cryptocurrencies in existence. The main drivers of this growth are the increasing adoption and acceptance of cryptocurrency as a legitimate and alternative form of money, the innovation and diversification of cryptocurrency technologies and platforms, and the emergence of new use cases and applications.

Again, AI crypto also faces significant challenges and risks, such as the complexity and uncertainty of the systems, the security and privacy of the transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is crucial that we develop and implement appropriate frameworks and guidelines for AI crypto, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

Web 4.0- the next frontier

One of the most visionary and ambitious areas of AI research and innovation is the concept of Web 4.0, also known as the symbiotic web. Web 4.0 is the next generation of the World Wide Web, where AI and IoT are integrated and interconnected, creating a web of intelligent and autonomous systems that can interact and collaborate with humans and each other. Web 4.0 is based on the convergence of several technologies and trends, such as 5G, cloud computing, big data, blockchain, and semantic web.

Web 4.0 offers advantages such as ubiquity, identity, and connectivity, but also faces challenges such as complexity, interoperability, and reliability. AI can help to enable and enhance Web 4.0, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to create new applications and services based on Web 4.0, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and Web 4.0, also known as AI web, is creating a new paradigm of intelligent and symbiotic systems that can transform various domains and industries. For example, AI web can enable smart healthcare, where Web 4.0 devices and platforms can monitor, diagnose, and treat patients, while AI algorithms can analyse the data and provide personalised and preventive care. AI web can also enable smart education, where Web 4.0 devices and platforms can facilitate interactive and immersive learning, while AI algorithms can provide adaptive and customised feedback and assessment. AI web can also enable smart entertainment, where Web 4.0 devices and platforms can deliver engaging and immersive content, while AI algorithms can provide personalised and contextual recommendations and interactions.

The potential of AI web is immense, and it is expected to grow exponentially in the coming years. AI web too, faces significant challenges and risks, such as the complexity and heterogeneity of the systems, the security and privacy of the data and transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for AI web, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

In conclusion, the next big thing in AI is the integration and interconnection of AI with other technologies and domains, such as IoT, cryptocurrency, and Web 4.0. These combinations create new paradigms of intelligent and connected systems that can transform various domains and industries. However, these combinations also pose significant challenges and risks, such as the complexity and uncertainty of the systems, the security and privacy of the data and transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is crucial that we develop and implement appropriate frameworks and guidelines for these combinations, to ensure that they are used responsibly and beneficially, and to prevent and mitigate their potential harms and abuses.

Remember, ChatGPT is a remarkable achievement of artificial intelligence, but it is not the end of the journey. It is a milestone that marks the beginning of a new era of human-machine interaction, where natural language is the bridge that connects us. ChatGPT is not only a tool, but also a partner, a friend, and a teacher, that can help us explore, learn, create, and share. ChatGPT is not only a reflection of our intelligence, but also a catalyst for our imagination.

Source: https://ciosea.economictimes.indiatimes.com/blog/2023-a-pivotal-year-for-ai-evolution-whats-next-in-2024-and-beyond/105799659

FAQ

The intersection of AI and the Internet of Things (IoT) is something we should watch in 2024?

Yes. Anndy Lian thinks that we should look deeper into AI and IoT. The combination of AI and IoT, also known as AIoT, is creating a new paradigm of intelligent and connected systems that can transform various domains and industries.

Do you think AI and cryptocurrency is a good combination?

Anndy Lian is a good combination. AI crypto can enable smart contracts, where cryptocurrency transactions can be executed automatically and securely based on predefined rules and conditions, without the need for intermediaries or trust. AI crypto can also enable smart governance, where cryptocurrency communities can make collective decisions and actions based on the preferences and feedback of the participants, without the need for central authorities or hierarchies. AI crypto can also enable smart finance, where cryptocurrency users can access and manage their assets and liabilities based on the analysis and prediction of the market trends and risks, without the need for traditional financial institutions or intermediaries.

What is Web 4.0?

Web 4.0 is the next generation of the World Wide Web, where AI and IoT are integrated and interconnected, creating a web of intelligent and autonomous systems that can interact and collaborate with humans and each other. Web 4.0 is based on the convergence of several technologies and trends, such as 5G, cloud computing, big data, blockchain, and semantic web.

Who is Anndy Lian?

Anndy Lian is an all-rounded business strategist in Asia. He has provided advisory across a variety of industries for local, international, public listed companies and governments. He is an early blockchain adopter and experienced serial entrepreneur, best-selling book author, investor, board member, and keynote speaker.

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

www.anndy.com
j j j

Entertainment’s Next Evolution: AI, Web3, and Data Privacy

Entertainment’s Next Evolution: AI, Web3, and Data Privacy

The ways we consume media, interact with technology, and protect user data are constantly changing. Web3 and Artificial Intelligence (AI) are new technologies that are transforming the media and entertainment landscape even further.

In a panel discussion titled “Reimagine Media & Content Ecosystem with Web3 & AI,” Feida Zhu (Associate Dean at SMU), James Liu (Director at Alibaba Cloud), Raymond Chung (CTO at ZEASN), and Anndy Lian (Advisor at Bybit) discussed the impact of these technologies on the industry.

Here is a recap of the event:

AI and the Changing Face of Television

With the proliferation of smartphones and portable devices, traditional TV viewership has been on the decline. People are now looking for more convenient and interactive ways to consume content. This shift has prompted experts to contemplate the future of television.

Many believe that AI is the key to making television more interactive and engaging. AI can offer personalized recommendations, provide real-time interaction, and enhance the overall viewing experience. AI-powered TVs can respond to voice commands, adapt to users’ preferences, and even offer educational content for children.

Anndy commented:

“AI can transform TV from a passive experience into an interactive one. Imagine a world where your TV is not just a screen but a knowledgeable companion. It can ask what kind of movie you’d like to watch, suggest content based on your preferences, and even help you with tasks like gaming or education.”

He added that AI can play a significant role in generating high-quality content. By using AI technology, content producers can create engaging, diverse, and unique content, ensuring that there is always something exciting to watch.

Raymond shared his experience:

“The integration of AI technology into the content creation process is another exciting prospect. With AI’s ability to generate high-quality content, it becomes possible to produce a plethora of new, engaging materials. This means AI can generate dynamic, interactive, and even personalized content, enhancing the user’s experience.

AI’s capabilities can extend beyond entertainment to areas like education and gaming. For instance, AI can create educational content tailored to a student’s learning style or generate interactive gaming experiences that adapt to a player’s skills and preferences. With AI, content creation is limited only by our imagination.”

Web3 and the Promise of Transparency

As the entertainment industry moves towards a more decentralized and transparent ecosystem, Web3 technology is gaining prominence. Web3, built on the principles of blockchain and decentralized networks, aims to provide a secure and transparent environment for content creators, users, and service providers.

James explained:

“One major advantage of Web3 is data privacy and security. Traditional platforms often collect massive amounts of user data, raising concerns about privacy and data breaches. With Web3, data can be stored securely on decentralized networks, ensuring that users have more control over their personal information.”

Feida continued by say that Web3 also enables creators to tokenize their influence. By using blockchain, content creators can create and manage their tokens, which represent their influence or popularity. These tokens can be traded or used within the ecosystem, creating a more fair and sustainable economy for content creators and their audiences.

Moreover, the transparency of blockchain can help combat piracy issues. Blockchain technology can track and verify content ownership, making it difficult for unauthorized parties to distribute content illegally.

To make the most of AI in user engagement, trust, and control are paramount. We must be cautious of deep fakes and manipulated content. This is where blockchain technology comes in as a control tool. By utilizing blockchain to verify the authenticity of content, we can ensure that what we see and hear is genuine.

Additionally, blockchain can offer transparency and accountability, which are essential in combating misinformation and promoting reliable content. By combining AI’s creativity with blockchain’s security, we can create a safer and more immersive digital landscape.

See the Full Panel Here

Monetization and the Creator’s Economy

Feida emphasized to all that Web 3, with its cryptocurrency and decentralized platforms, opens up new monetization opportunities.

Creators can use Web3 to create and sell non-fungible tokens (NFTs) of their content. This gives them a new way to monetize their work and reach a wider audience. The Creator’s Economy allows users to create content and share their experiences. AI, together with blockchain, can enhance the value of these experiences.

Users can be incentivized to produce content that resonates with a wide audience. From anime to soap operas, the possibilities are endless. AI and blockchain technologies provide a win-win situation for content creators and consumers, driving user engagement to new heights.

The Challenge of Data Privacy

While AI and Web3 technologies hold tremendous promise, they also raise concerns about data privacy. AI models require vast amounts of data to function effectively, and this data can potentially be misused or exploited.

Anndy shared his views:

“The responsibility falls on both service providers and users to protect data privacy. Service providers must design robust systems to ensure that sensitive data is stored securely and accessible only to authorized personnel. Users, on the other hand, need to be cautious about the information they provide and understand the implications of sharing personal data whether is it Web2 or Web3.”

Additionally, the development of privacy-focused AI models and encryption methods is crucial in safeguarding user data in the AI-driven world.

The Bottom Line

The evolution of entertainment is driven by AI, Web3 technology, and the demand for greater data privacy and security. The transformation of television into an interactive experience, the promise of Web3 for transparency and fair content monetization, and the challenges of data privacy all shape the future of the entertainment industry.

As we move forward, it is essential to embrace these technologies while being mindful of data privacy and ethical AI practices. The entertainment industry is on the cusp of a revolution, and only those who adapt to this changing landscape will thrive in the digital age.

This event is supported by Singapore Management University and Moledao.

 

 

Source: https://www.techopedia.com/entertainments-next-evolution-ai-web3-and-data-privacy

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

www.anndy.com
j j j