Technology

The Digital Divide: AI’s Potential to Create Haves and Have-Nots

Published

10 months ago

November 20, 2023

Fred Wilson

How AI Can Create or Reduce Digital Inequalities

Introduction

Hi, I am Fred, a blog writer who is interested in technology and its effects on society. I have been following the progress of AI for the past few years, and I am amazed by its ability to change various aspects of our lives, from health and education to entertainment and business. However, I am also aware of the dangers and difficulties that AI poses, especially for those who are already left behind or disadvantaged by the existing digital gap. In this article, I will examine how AI can create new forms of digital inequalities, or worsen the existing ones, depending on how it is created, used, and distributed. I will also suggest some ways to close the digital gap in the age of AI.

What is the digital gap and why does it matter?

The digital gap is the difference between those who have access to and can use digital tools, such as computers, smartphones, and the internet, and those who do not. The digital gap can be measured by various indicators, such as availability, affordability, quality, skills, usage, and outcomes of digital tools. The digital gap matters because it affects the opportunities and outcomes of individuals and groups in various domains, such as education, work, health, civic engagement, and social inclusion. The digital gap can also reflect and reinforce other forms of inequalities, such as income, education, gender, age, race, ethnicity, and geography.

How does AI affect the digital gap?

AI is the field of computer science that aims to create machines or systems that can perform tasks that normally require human intelligence, such as reasoning, learning, decision making, and problem solving. AI has been improving rapidly in recent years, thanks to the availability of large amounts of data, powerful computing resources, and sophisticated algorithms. AI has been applied to various fields and sectors, such as health, education, finance, agriculture, transportation, and entertainment, creating new products, services, and solutions that can improve efficiency, quality, and convenience. However, AI can also have negative impacts, such as displacing workers, invading privacy, spreading misinformation, and discriminating against certain groups. AI can also affect the digital gap in different ways, depending on how it is created, used, and distributed. Here are some examples of how AI can increase or decrease the digital gap:

AI can increase the digital gap by creating a new AI gap, where some countries, regions, organizations, or individuals have more access to and control over AI tools and applications than others. For example, a recent study found that the majority of AI patents and publications are concentrated in a few countries, mainly the US, China, Japan, and Europe . This means that these countries have more influence and power over the direction and impact of AI, while others may be left behind or excluded. Similarly, within countries, some groups or individuals may have more access to and benefit from AI than others, depending on their socioeconomic status, education level, digital skills, and personal preferences. For example, a survey found that young adults aged 16 to 24 in different countries have varying levels of awareness and usage of AI and human rights. This means that some young people may be more ready and able to use AI for their own benefit and for social good, while others may be more exposed and harmed by AI.
AI can decrease the digital gap by providing new opportunities and solutions for those who are digitally excluded or underserved. For example, AI can help close the gap in education by offering personalized learning, adaptive assessment, and intelligent tutoring systems that can cater to the needs and preferences of different learners, especially those who face barriers or challenges in accessing or benefiting from traditional education systems. For example, UNESCO and UNITAR launched a microlearning course for AI and human rights, for young adults aged 16 to 24 in 2021, which was translated into five languages and addressed essential topics such as freedom of expression, privacy, and equality. Similarly, AI can help close the gap in health care by providing diagnosis, treatment, and prevention services that can reach and serve remote or underserved populations, especially those who lack access to or quality of health care facilities or professionals. For example, AI can help detect diseases, such as tuberculosis, malaria, and diabetic retinopathy, using image analysis and deep learning.

How can we close the digital gap in the age of AI?

Closing the digital gap in the age of AI is a complex and multifaceted challenge that requires the collaboration and coordination of various stakeholders, such as governments, private sector, civil society, academia, and media. Here are some suggestions for closing the digital gap in the age of AI:

Promote universal and affordable access to digital and AI tools and applications. This can be done by investing in and expanding the digital and AI infrastructure, such as broadband networks, cloud computing, and data centers, especially in rural and remote areas. It can also be done by reducing the cost and increasing the availability of digital and AI devices, such as computers, smartphones, and sensors, especially for low-income and marginalized groups. Moreover, it can be done by ensuring the interoperability and compatibility of digital and AI systems and platforms, such as operating systems, browsers, and applications, especially for users with different languages, cultures, and abilities.
Enhance the digital and AI skills and literacy of the population. This can be done by integrating digital and AI education and training into the formal and informal education systems, from early childhood to lifelong learning. It can also be done by providing digital and AI learning opportunities and resources, such as online courses, MOOCs, and microlearning, especially for those who are out of school or work. Moreover, it can be done by raising the awareness and understanding of the benefits and risks of digital and AI among the public, especially for those who are skeptical or reluctant to use digital and AI.
Ensure the ethical and responsible creation and use of digital and AI. This can be done by establishing and enforcing the legal and regulatory frameworks and standards for digital and AI, such as data protection, privacy, security, transparency, accountability, and human rights. It can also be done by fostering the participation and inclusion of diverse and representative voices and perspectives in the design and governance of digital and AI, such as users, consumers, workers, and communities. Moreover, it can be done by promoting the innovation and creativity of digital and AI for social and environmental good, such as addressing the global challenges of poverty, inequality, health, education, and climate change.

Summary

In this article, I have examined how AI can influence the digital gap, the difference between those who can use digital tools effectively and those who cannot. I have discussed how AI can create new forms of digital inequalities, or worsen the existing ones, depending on how it is created, used, and distributed. I have also suggested some ways to close the digital gap in the age of AI, by promoting universal and affordable access, enhancing the digital and AI skills and literacy, and ensuring the ethical and responsible creation and use of digital and AI. I hope that this article has provided you with some valuable insights and information on this important and timely topic. Thank you for reading and please feel free to share your thoughts and comments below.

Image by: https://blog.daisie.com/boosting-cognitive-function-practical-ways-to-manage-stress/

Table: The Digital Gap and AI

Aspect	Definition	Example
Access	The availability and affordability of digital and AI tools and applications	Broadband networks, cloud computing, data centers, computers, smartphones, sensors, AI systems and platforms
Skills	The ability and competence to use digital and AI tools and applications effectively and efficiently	Digital and AI education and training, online courses, MOOCs, microlearning, digital and AI literacy and awareness
Usage	The frequency and intensity of using digital and AI tools and applications for various purposes and domains	Health care, education, finance, agriculture, transportation, entertainment, civic engagement, social inclusion
Outcomes	The benefits and risks of using digital and AI tools and applications for individuals and groups	Efficiency, quality, convenience, innovation, creativity, empowerment, employment, income, health, education, privacy, security, transparency, accountability, human rights

Author

Fred Wilson

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Technology

The Ultimate Guide to 5G Availability in the US: What You Need to Know

Published

13 mins ago

September 19, 2024

Brendan Blair

Reviewed
By Carlos Clark

Introduction to 5G in the US

Image by : https://yandex.com

The United States is at the forefront of the 5G Technology revolution, offering unprecedented speeds and connectivity that promise to transform our digital lives. As carriers expand their networks, understanding 5G availability becomes crucial for consumers and businesses alike. This guide provides a comprehensive overview of 5G in the US, including carrier rollouts, coverage maps, and what the future holds.

Major Carriers and Their 5G Rollout Plans

Verizon’s 5G Expansion

Verizon leads with its ambitious 5G Ultra Wideband network, focusing on highfrequency bands for massive capacity and ultralow latency. As of now, Verizon offers 5G in select cities, with plans to cover more areas throughout the year.

AT&T’s Nationwide 5G Technology

AT&T boasts a nationwide 5G network, leveraging lower frequency bands for broader coverage. While its speeds might not match Verizon’s peak, AT&T provides a reliable and consistent 5G experience across the country.

TMobile’s 5G Strategy

TMobile, after merging with Sprint, has accelerated its 5G rollout. Its strategy combines Sprint’s midband spectrum with its own lowband and highband frequencies, aiming for a balance of speed and coverage. TMobile’s 5G network now reaches over 300 million people in the US.

5G Technology Coverage Maps: Navigating the New Landscape

To fully grasp 5G availability, it’s essential to consult the latest coverage maps from each carrier. These maps offer insights into where 5G service is active and help consumers make informed decisions based on their location.

How to Access 5G Coverage Maps

Verizon: Visit the Verizon website and navigate to their 5G coverage map.

AT&T: AT&T’s coverage map on their website provides details on their 5G network.

TMobile: TMobile offers a comprehensive 5G coverage map, showcasing their widespread 5G availability.

The Future of 5G Technology in the US

Image by : https://yandex.com

The future of 5G in the US is bright, with carriers continuously expanding their networks. The introduction of new technologies, such as Dynamic Spectrum Sharing (DSS), will further enhance 5G coverage and performance. Additionally, the deployment of more 5Genabled devices will accelerate adoption and create new use cases.

Understanding 5G Technology

5G technology is more than just speed. It represents a significant leap forward in connectivity, offering:

Low Latency: Nearinstantaneous communication for realtime applications.

Massive Capacity: The ability to connect more devices simultaneously.

Enhanced Efficiency: Improved network efficiency and battery life for devices.

Preparing for a 5G World

To take full advantage of 5G, consumers and businesses need to prepare. This includes investing in 5Genabled devices and understanding the different types of 5G networks (lowband, midband, and highband).

Conclusion

5G is set to revolutionize the digital landscape in the US, offering unparalleled speeds and connectivity. With carriers rapidly expanding their networks, staying informed about 5G availability and technology is crucial. As we move forward, the potential of 5G will unlock new possibilities and transform how we live, work, and play. By understanding the current state of 5G in the US and preparing for its future, individuals and businesses can position themselves to thrive in the upcoming 5G era.

Author

Brendan Blair

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Technology

The Best Smart Rings You Can Buy in 2024

Published

23 hours ago

September 18, 2024

David Henry

Reviewed
By Carlos Clark

The Best Smart Rings You Can Buy in 2024

Image by : Yandex

In today’s tech-savvy world, smart rings have emerged as one of the most innovative and practical wearable gadgets. They not only offer functionality but are also aesthetically pleasing. As 2024 approaches, manufacturers have made significant advancements in this domain. Let’s explore the best options available in the market this year## 1. Introduction to Smart Rings

Smart rings represent a fusion of fashion and technology, offering wearable tech that does not compromise style. These small, yet powerful devices, typically track fitness, monitor health, and enable seamless connectivity. We’ll dive into the top smart rings available in 2024, focusing on their unique features and benefits.

2. Oura Ring Gen 4

The Oura Ring Gen 4 is a frontrunner when it comes to smart rings. It’s equipped with advanced sensors to monitor sleep, activity, and readiness scores accurately. The ring’s sleek design ensures it can be worn comfortably both day and night. In 2024, the new generation offers enhanced battery life and even deeper insights into your wellness data.

3. Motiv Ring 2024 Edition

Motiv continues to impress with its 2024 edition of the Motiv Ring. Known for its simplicity and effectiveness, this smart ring offers fitness tracking, heart rate monitoring, and sleep analysis. The 2024 edition also brings in NFC technology, allowing for seamless contactless payments, enhancing its practicality in everyday use.

4. Circular Smart Ring

The Circular Smart Ring stands out due to its customizable design and advanced health tracking capabilities. This ring focuses on providing personalized insights by adapting to the wearer’s unique health metrics. It tracks activities such as steps, sleep quality, and even stress levels. Circular’s emphasis on personalization makes it a top contender in the list of smart rings for 2024.

5. ArcX Smart Ring

Image by : Yandex.com

ArcX is a versatile smart ring designed for fitness enthusiasts. This ring allows users to control their smartphone or fitness device with simple gestures, making it perfect for runners, cyclists, or gym-goers. The 2024 version includes new features such as enhanced waterproofing and a more extended battery life, ensuring it can keep up with the most active lifestyles.

6. Apple Smart Ring (Speculative)

While not officially confirmed, rumors and leaks suggest that Apple might enter the market with an Apple Ring in 2024. If it becomes a reality, this ring could integrate seamlessly with the Apple ecosystem, offering features like activity tracking, health monitoring, and Siri integration. The potential release of an Apple Smart Ring could revolutionize the wearable tech market.

7. Prevention Circul+ Ring

Prevention Circul+ is a groundbreaking smart ring that focuses primarily on health monitoring. It can measure blood oxygen levels, heart rate, and even provide an electrocardiogram (ECG). This makes it a perfect choice for health-conscious individuals. The 2024 model comes with improved accuracy and additional health metrics, solidifying its place among the best smart rings.

8. McLear Smart Ring

The McLear Smart Ring is an excellent choice for those looking for a practical yet fashionable accessory. Known for its contactless payment feature, this ring allows users to make secure payments with ease. The 2024 version also includes extended compatibility with various payment systems and enhanced security features, making it a reliable companion for daily transactions.

9. HB Ring

For those who prioritize connectivity and personal touch, the HB Ring is a great option. It allows wearers to share their heartbeat with loved ones in real-time, making it a unique and thoughtful gift. The combination of premium materials and advanced technology ensures that the HB Ring remains one of the most emotionally connected smart rings in 2024.

10. Xenxo S-Ring

Image by : Yandex.com

The Xenxo S-Ring is an all-in-one marvel, combining multiple functionalities in a single device. It offers Bluetooth calling, fitness tracking, contactless payments, and even data storage. The 2024 model brings improved battery life and faster connectivity, making it an ideal choice for tech enthusiasts who want everything at their fingertips.

Conclusion

Smart rings have come a long way, and 2024 presents an array of sophisticated options that cater to various needs and preferences. Whether it’s health monitoring, fitness tracking, connectivity, or practical features like contactless payments, there’s a smart ring out there for everyone. With continued innovation, these wearables are sure to become an integral part of our daily lives, offering convenience, style, and cutting-edge technology.

Author

David Henry

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Technology

The Role of Quantum Computing in Advancing AI

Published

1 week ago

September 12, 2024

Jen Sanders

Reviewed
By Janasis Roth

Quantum computing and artificial intelligence (AI) are two of the most transformative technologies of our time. When combined, they hold the potential to revolutionize problem-solving in ways that were previously unimaginable. The synergy between quantum computing and AI can significantly enhance the capabilities of AI systems, making them more powerful and efficient. This integration can lead to groundbreaking advancements in various fields, including healthcare, finance, and logistics. By leveraging the unique properties of quantum computing, AI can tackle complex problems that are currently beyond the reach of classical computing methods.

Fundamental Concepts and Quantum Computing AI:

This image taken from Yandex.com

To understand the synergy between quantum computing and AI, it is essential to grasp the fundamental concepts of quantum computing. At the core of quantum computing are qubits, which are the quantum analogs of classical bits. Unlike classical bits that can be either 0 or 1, qubits can exist in a superposition of states, allowing them to represent multiple values simultaneously. This property enables quantum computers to perform many calculations at once, significantly speeding up the processing of complex data.

Another crucial concept is quantum entanglement, a phenomenon where qubits become interconnected in such a way that the state of one qubit directly influences the state of another, regardless of the distance between them. This property can be harnessed to enhance AI computational capabilities by enabling faster and more efficient data processing. Quantum entanglement can lead to more accurate predictions and better decision-making in AI systems.

Basic Principles and Quantum Computing AI:

Artificial intelligence involves the creation of algorithms and models that enable machines to perform tasks that typically require human intelligence. Machine learning, a subset of AI, involves training algorithms on large datasets to recognize patterns and make predictions. The integration of quantum computing with AI can significantly enhance these machine learning algorithms by providing faster data processing and more efficient optimization techniques.

One of the key benefits of quantum computing AI is its ability to optimize complex problem-solving capabilities. Traditional AI algorithms often struggle with problems that involve a vast number of variables and constraints. Quantum computing can address this challenge by exploring multiple solutions simultaneously and identifying the optimal one more efficiently. This capability can lead to significant improvements in various applications, from optimizing supply chains to designing new materials.

How Quantum Computing Enhances AI:

Quantum computing can accelerate complex data analysis, a critical aspect of many AI applications. Traditional computers can take a long time to process and analyze large datasets, limiting the speed and efficiency of AI systems. Quantum computers, with their ability to perform multiple calculations simultaneously, can dramatically reduce the time required for data analysis. This acceleration can lead to faster insights and more timely decision-making in various industries.

Moreover, quantum computing can improve machine learning algorithms by enabling more efficient training and optimization processes. Quantum algorithms can explore a larger solution space more quickly than classical algorithms, leading to better performance and accuracy. This improvement can enhance the capabilities of AI systems in areas such as image recognition, natural language processing, and predictive analytics.

Potential Applications in Various Industries:

The synergy between Quantum Computing and AI has the potential to revolutionize various industries. In the pharmaceutical industry, for example, quantum AI can significantly accelerate the drug discovery process. Traditional drug discovery methods involve extensive trial and error, which can be time-consuming and costly. Quantum computing can simulate molecular interactions more accurately and efficiently, leading to the identification of promising drug candidates faster. This capability can expedite the development of new treatments for diseases and improve patient outcomes.

In the financial sector, quantum computing AI can optimize portfolio management and risk analysis. Financial markets involve complex interactions between numerous variables, making it challenging to identify optimal investment strategies. Quantum computing can analyze vast amounts of financial data more quickly and accurately, enabling better risk assessment and more informed investment decisions. This optimization can lead to improved financial performance and reduced risk for investors.

Challenges and Limitations with Quantum Computing:

Despite the promising potential of quantum AI, there are several challenges and limitations that need to be addressed. One of the primary challenges is scalability. Integrating quantum computing with AI requires the development of scalable quantum hardware and algorithms that can handle large-scale problems. Current quantum computers are still in the early stages of development and are limited in terms of the number of qubits they can support. Overcoming this scalability issue is crucial for realizing the full potential of quantum computing AI.

Another significant challenge is the error rates associated with quantum computing. Quantum systems are highly sensitive to environmental disturbances, leading to errors in computations. These errors can affect the performance and reliability of quantum AI systems. Developing error-correction techniques and improving the stability of quantum hardware are essential steps toward mitigating this limitation.

Future Prospects and Research Directions:

This Image taken from Yandex.com

The future of quantum computing AI is filled with exciting prospects and research opportunities. One of the key areas of exploration is leveraging quantum computing for advanced problem-solving capabilities. Researchers are investigating how quantum algorithms can be applied to solve complex problems in fields such as cryptography, optimization, and material science. These advancements could lead to new breakthroughs and innovations that were previously unattainable.

Another important research direction is enhancing machine learning algorithms through quantum computing. By developing quantum-enhanced machine learning techniques, researchers aim to create AI systems that are more efficient, accurate, and capable of handling larger datasets. This research could lead to significant improvements in various applications, from autonomous vehicles to personalized medicine.

Conclusion :

In conclusion, the synergy between quantum computing and AI holds immense potential to transform problem-solving and enhance AI capabilities. By understanding the fundamental concepts of quantum computing and AI, recognizing their benefits and challenges, and exploring future research directions, we can unlock new possibilities and drive innovation across various industries.