Preparedness UN SDG and 6g

Posted On
Posted By
Prof. Timila Yami Thapa

 

Preparedness UN SDG and 6g

World is moving towards commercial launch of 6G communications systems. United Nations’ Sustainable Development Goals (UN SDGs) are both targeted for 2030. 6G communications is expected to boost global growth and productivity, create new business models and transform many aspects of society. The UN SDGs are a way of framing opportunities and challenges of a desirable future world and cover topics as broad as ending poverty, gender equality, climate change and smart cities. The relationship between these potentially mutually reinforcing forces is currently under-defined.

Innovation

A well-trained workforce is more likely to spur innovation at companies. Firms that provide even minimal training to employees are nearly 8 percentage points more likely to introduce a new product and implement a new process.

Innovation – narrowly defined in business as an improved product or services – leads to corporate growth due to new demand or increased market share, productivity growth due to improved business processes and technology, and overall economic diversification. Innovation at the company level matters tremendously for competitiveness and sustainability and a country’s long-term growth prospects.

It is commonly understood that one of the key ingredients of innovation inputs include training and human capital, defined as the skills, knowledge and experience of a work force. Human capital strengthens the capacity of a firm to absorb and develop new knowledge and as such it is an essential part of both frontier and catch-up innovation.

6g system

India gears up for 6G now. Know internet speed, other features of 6G networkSuperpowers the US and China are readying themselves to take on the next telecommunications battlefield, 6G technology, even before 5G networks are widely established
 

Even though the era of the 5G network has not yet fully arrived yet regionally  and Nepal is struggling rolling out 4G system with only one 5g system in Himalaya, the limitations of 5G technology mean reginal  countries. More and more governments and organizations have announced the introduction of their research projects into the 6G network. Countries have started announcing its intention to invest in techniques and technologies with potential uses in 6G networks.

The 6G network should be an “AI-empowered” network, meaning AI is both its driver and most prominent feature. The 6G network should be a deep integration of currently emerging AI tools and networking functions. As issues on the security and privacy of networks have become increasingly important in recent years, risk mitigation should be an integral component of the architecture. Security and privacy challenges associated with each key technology and potential applications for 6G networks going forward.

 

The four key components of a 6G network, which include real-time intelligent edge, distributed AI, intelligent radio, and 3D intercoms. We chose these four areas as our focus because they cover the most powerful part of the 6G study that is being conducted so far. They are also subject to the most security and privacy concerns. The technologies involved in the present research include the AI-based software, the molecular communications, the quantum communications, the blockchain, the TeraHertz (THz) technology, and the Visible Light Communication (VLC) technology. All these technologies hold great promise for use in various 6G network applications, such as multi-sensory X Reality (multi-sensory XR) applications, connected robotics and autonomous systems, wireless brain-computer interactions, and blockchain and distributed ledger technologies. Moreover, AI exists at the intersection of all three areas because we assume that 6G networks will be AI-empowered.

 

The molecular communication and the THz technology both support intelligent radio. The molecular communication technology is associated with security and privacy issues concerning authentication, encryption and communication, while the THz technology especially suffers from authentication security and malicious behavior. The blockchain technology and the quantum communication overlap with distributed artificial intelligence and intelligent radio. The main security and privacy concerns here relate to authentication, access control, data transmission and encryption.

 

Capturing conceptual morality

In order to build more fair Artificial Intelligence applications, a thorough understanding of human morality is required. Given the variable nature of human moral values, AI algorithms will have to adjust their behaviour based on the moral values of its users in order to align with end user expectations. Quantifying human moral values is, however, a challenging task which cannot easily be completed using e.g. surveys. In order to address this problem, we propose the use of game theory in longitudinal mobile sensing deployments. Game theory has long been used in disciplines such as Economics to quantify human preferences by asking participants to choose between a set of hypothetical options and outcomes. The behaviour observed in these games, combined with the use of mobile sensors, enables researchers to obtain unique insights into the effect of context on participant convictions. Strengthen digital transformation efforts and reevaluate their strategies

Harnessing Technology to Build Human Capital in South Asia

South Asia is among the fastest growing regions globally, with a vast human capital potential.  the region faces persistent human capital deficits.  

COVID-19 pandemic has exacerbated these vulnerabilities and reversed much of the recent gains in human development. For instance, drop out of school due to COVID-related income losses. This is more than half of all global dropouts. With deep disruptions, the pandemic has shifted focus on digitalization and use of converging technologies for delivering health, education, social protection services, and on building future pandemic and climate resilience. Converging technologies refer to a synergy of biosciences, nanotechnology, and artificial intelligence, powered by big data and high-speed computing. 

The ongoing tech-revolution offers tremendous opportunities, but also exposes striking digital inequality. South Asia has the largest number of people without internet access—nearly a billion out of the global total of 3.2 billion. Given the contrasts, technologies can deepen inequalities, exclusion, and loss of livelihoods. Proactive steps need to be taken to ensure that technology adoption is guided by principles of human centricity, inclusion, and trust.

Focus is required on these potentials and challenges of leveraging technologies to build human capital and help South Asia manage risks and shocks: how can it overcome regional barriers, promote cross-country collaboration to support recovery from COVID and other shocks, and build human capital and adaptable resilience in the region. Technologies can accelerate human capital development, with a focus on improving service delivery, building adaptability and resilience, and promoting inclusion. 

 

The Converging Technology Revolution and Human Capital : Potential and Implications for South Asia

South Asia is heavily impacted by the devastating loss of lives and human capital from the COVID-19 pandemic and the converging technology revolution sweeping the globe. The Converging Technology Revolution and Human Capital: Potential and Implications for South Asia looks at how the region could capitalize on these technologies to accelerate its development of human capital and promote adaptability and resilience to future shocks. The convergence of technological breakthroughs spanning biotechnology, nanotechnology, information technology, and cognitive science is driven by artificial intelligence, data flows, computing power, and connectivity. These breakthroughs can improve service delivery, productivity, and innovation, but they can also exacerbate inequalities and eliminate people’s agency and empowerment. This report analyzes these trends in the region, offering a comprehensive agenda to exploit the opportunities offered by converging technologies while minimizing the risks to vulnerable populations. It proposes strategies for building public sector capacity and promoting data and technology governance frameworks in a rapidly evolving technology landscape.

Science, technology and innovation (STI) and culture for sustainable development and the MDGs

In 2013, the Economic and Social Council (ECOSOC) will have the chance to put a spotlight on the role of science, technology and innovation, and the potential of culture – and related national and international policies – in promoting sustainable development and achieving the Millennium Development Goals (MDGs). Indeed, science, technology and innovation can play a critical role in each and every MDG, including by:

  • fostering access to knowledge;
  • increasing productivity, industrialization, economic growth and the creation of decent jobs;
  • promoting health and access to essential drugs;
  • achieving food security through sustainable, equitable agricultural systems and by raising production and incomes, especially of smallholder farms;
  • promoting renewable energy technologies in order to respond to the dual challenge of reducing energy poverty while mitigating climate change.  

Focusing on science, technology and innovation is also an opportunity to follow up to the Rio +20 outcome, which will have a significant focus on green technologies.

Science and technology are continuously evolving, influenced by structural shifts in the world economy, the steady globalization of innovative activity, the rise in new actors and new ways of innovating. Managing existing technology and non-technological innovation also counts. National and international policies, including intellectual property systems, need to adapt to this evolving environment and address the special needs of different countries, especially the least developed countries (LDCs).

Unlocking Human Potential Through Automation

The rapid acceleration of technology in recent times has sparked the evolution of automation: a time when machine learning (ML), robotic process automation (RPA), and artificial intelligence (AI) have become key players in organizational strategies to strengthen digital transformation efforts. The role of digital transformation has become increasingly important over time — even more so after a global pandemic — as the need for greater operational capacity, business resiliency, and flexibility has exponentially heightened for businesses to survive.