Utilization of digital technology Impact OF

Technology can make our world more impartial, peaceful and equitable. Digital advance will end extreme poverty, reduce maternal and child mortality, promote sustainable farming and decent work, and make everyone readable and writable In particular, we can help and accelerate the achievement of each of the 17 Sustainable Development Goals (SDGs). Technology, on the other hand, can threaten privacy, jeopardize safety, and even fuel unequal fires. It also affects human rights and human activities. As with previous generations, whether it's a government, a company or an individual, we have the choice to make use of new technologies.


Digital technology is moving faster than any other innovation in history, transforming society by penetrating around 50% of the developing world population in just 20 years. By improving connectivity, financial inclusion, access to commerce and public services, technology can be a major driver of equality.

For example, in the medical sector, AI-powered advanced technology is useful for lifesaving, disease diagnosis, and longevity. In education, thanks to virtual learning environments and distance learning, we are able to teach students who would otherwise have been excluded. With regard to public services, access and accountability have been improved through a blockchain-based system, and AI support has reduced the burden of paperwork. Big data can also support more responsive and accurate policies and programs.


But those who have yet to connect with technology can be left behind and left behind in this new era. Among the marginalized population are women, the elderly and persons with disabilities, as well as ethnic or linguistic minorities, indigenous peoples, poor or remote areas. There are even cases where the pace of connections slows or even reverses. For example, the percentage of women who use the Internet worldwide is 12% lower than that of men. In most regions, this gap narrowed from 2013 to 2017, but in developing countries alone, the gap widens from 30% to 33%.

The use of algorithms can reflect or even amplify human and systematic biases if they work on data that lacks sufficient diversity. Lack of diversity in the technology sector may also indicate that this issue has not been adequately addressed.Next