democratization

Not only has the new coronavirus catapulted us out of our everyday lives, but the way the EU is handling the Covid-19 pandemic has made its inability to take action in times of crisis painfully apparent. Just as people are stranded at airports and railway stations, any hope that Europe is capable of pulling together has also been stranded in the last few weeks.

The ongoing pandemic of COVID-19 disease has brought about an extraordinary situation. Although the past decades have brought numerous challenges like terrorism or the climate change, the global spread of a disease for which there is neither a cure nor vaccination available is something that political leaders have no experience in tackling.

Big technology companies are getting a break from the “techlash,” but this does not mean that the monopolists are permanently off the hook. The crisis has highlighted privacy and security concerns and well as subpar labor standards in the industry. Social media face additional scrutiny for how they deal with COVID-19 related disinformation.

The Hungarian Parliament passed a new act on Monday, which gives an already authoritarian government extraordinary, dangerous powers. 

In order to curb the spread of the novel Corona virus, Jordan has enforced one of the strictest lockdowns in the world. While these measures seem tough, they might avert the country from the high fatalities that many other states are facing.

A virus riding on another virus. That is how the ‘infodemic’ is raging in online spaces around the outbreak of the novel coronavirus called COVID-19, which has been on just about everyone’s radar since late January 2020. As grave as the quest to manage the respiratory disease and cure those ill with it is not only the challenge of using facts versus fear - but how to create and keep avenues of information that withstand the unrelenting drip of skewed, confused, partially true to totally false information, to racist and prejudiced views, or a cocktail of these.

Computers are often thought of as neutral technology. However, it becomes alarmingly clear that machines learn from training data made up of outdated social norms, values and attitudes towards race and gender. This can have insidious consequences.