1. The 6 key pillars that make a democracy work and how technology threatens their existence.
2. 20 suggestions for how democracy machines in order to survive in an era of ubiquitous intelligent machines, big data and digital public sphere.
3. Hardly anyone ever read the terms and conditions that they tick , because they are long and only comprehensible to a contract lawyer with a background in software engineering and one day a week to spare. A few years ago , a British firm included a clause that asked for permission to claim now and for evermore, your Immortal soul and no one bothered.
4. In the bowels of every inspirationally branded tech firm some of the World's smartest Minds are paid small fortunes to work out why you click on things, and to get you to click on more things.
5. How addictions to alcoholism and tobacco are giving way to digital dependency.
6. The scary thing about modern big data algorithms is how they can figure things out about us that we barely know ourselves.
7. The logical end goal of datausm is for each of us to be reduced to a unique, predictable and target table data.
8.. How in 1890, Samuel Warren and Louis Brandeis questioned whether arrival of the camera would put citizens at risk from constant surveillance.
9..Being always under surveillance and knowing that the things you say are collected and shared creates a soft but constant self censorship. It may not feel like that when people screaming abuse on Twitter - but for every angry troll, there are hundreds of quite users, lurkers who watch but don't post, for fear of the Angry Twitter mob, the data collectors, a nosy employer, or the hordes of professional offence takers who shark around the net waiting to be upset. This is damaging to the citizens ability to exercise moral judgement in their lives.
10. If data analysits or algorithms understand is better that we do , they can manipulate or control us in ways we can't understand or uncover.
11. How algorithms just like numbers aur intoxicating because they appear to be logical and can guide our thought process.?
12. There is a proliferation of well meaning apps designed to help you to decide how to vote. You put in your views and preferences and the machine spits out a party for you. Nearly 5 million brits have already used voting app I side with in multiple elections. 5.5 million people as an app.
13. How voters are notoriously bad at knowing even their own preferences, and how algorithms manipulate the choices.
14. How Information overload and connectivity has encouraged a divisive form of emotional tribal politics, in which loyalty to the, group anchor outrank reason and compromise.
15. How the available information is beyond the ability of of even the most ordered brain to categorise into believable and not believable.
16. How referendum and digital voting don't actually satesh questions and are extremely divisive because the force people into binaries rather than seeking compromise.
17. Emotional content gets traction online, in the form of shares, retweet, etc. than serious and thoughtful comments and stories.
18. How when exposed to contradictory facts, stop first become more strongly set in our beliefs. Interaction on the net is typically Swift, fleeting, and emotionally heightened. Technology has turbocharged a weakness for financial gains.
19. How internet is used by leaders who want to become popular by promising easy solutions to complicated questions.
20. How the Trump camp as well as Russians used internet to promote the the presidential campaign of Donald Trump?
21. The role of Cambridge analytica in the election of Trump as president of USA.
22. How data relating to purchase of a Ford car was used to convince the buyer to vote for Trump?
23. How elections are becoming datafied?
24. Who actually wrote many of Donald Trump's Facebook posts!?
25. How driverless trucks for becoming a reality in USA and their dexterity.
26. Use of artificial intelligence by legal software firms.
27. Text forms in the future will control public opinion by owning the platforms on which material is published.
28 . Tech monopolies are more invidious to democracy than Rockefeller or Carnegie.
29. Why in future big Tech companies won't need to lobby or buyout competitors?
30. How Crypto anarchy, Bitcoin, blockchain storage of data might be the only set of ideas that can challenge the check monopolies
31. How it is getting simpler day by day to be a cyber criminal
32. How overuse of Technology will gradually render governments non functional?
33. Twenty ideas to save democracy.
2. 20 suggestions for how democracy machines in order to survive in an era of ubiquitous intelligent machines, big data and digital public sphere.
3. Hardly anyone ever read the terms and conditions that they tick , because they are long and only comprehensible to a contract lawyer with a background in software engineering and one day a week to spare. A few years ago , a British firm included a clause that asked for permission to claim now and for evermore, your Immortal soul and no one bothered.
4. In the bowels of every inspirationally branded tech firm some of the World's smartest Minds are paid small fortunes to work out why you click on things, and to get you to click on more things.
5. How addictions to alcoholism and tobacco are giving way to digital dependency.
6. The scary thing about modern big data algorithms is how they can figure things out about us that we barely know ourselves.
7. The logical end goal of datausm is for each of us to be reduced to a unique, predictable and target table data.
8.. How in 1890, Samuel Warren and Louis Brandeis questioned whether arrival of the camera would put citizens at risk from constant surveillance.
9..Being always under surveillance and knowing that the things you say are collected and shared creates a soft but constant self censorship. It may not feel like that when people screaming abuse on Twitter - but for every angry troll, there are hundreds of quite users, lurkers who watch but don't post, for fear of the Angry Twitter mob, the data collectors, a nosy employer, or the hordes of professional offence takers who shark around the net waiting to be upset. This is damaging to the citizens ability to exercise moral judgement in their lives.
10. If data analysits or algorithms understand is better that we do , they can manipulate or control us in ways we can't understand or uncover.
11. How algorithms just like numbers aur intoxicating because they appear to be logical and can guide our thought process.?
12. There is a proliferation of well meaning apps designed to help you to decide how to vote. You put in your views and preferences and the machine spits out a party for you. Nearly 5 million brits have already used voting app I side with in multiple elections. 5.5 million people as an app.
13. How voters are notoriously bad at knowing even their own preferences, and how algorithms manipulate the choices.
14. How Information overload and connectivity has encouraged a divisive form of emotional tribal politics, in which loyalty to the, group anchor outrank reason and compromise.
15. How the available information is beyond the ability of of even the most ordered brain to categorise into believable and not believable.
16. How referendum and digital voting don't actually satesh questions and are extremely divisive because the force people into binaries rather than seeking compromise.
17. Emotional content gets traction online, in the form of shares, retweet, etc. than serious and thoughtful comments and stories.
18. How when exposed to contradictory facts, stop first become more strongly set in our beliefs. Interaction on the net is typically Swift, fleeting, and emotionally heightened. Technology has turbocharged a weakness for financial gains.
19. How internet is used by leaders who want to become popular by promising easy solutions to complicated questions.
20. How the Trump camp as well as Russians used internet to promote the the presidential campaign of Donald Trump?
21. The role of Cambridge analytica in the election of Trump as president of USA.
22. How data relating to purchase of a Ford car was used to convince the buyer to vote for Trump?
23. How elections are becoming datafied?
24. Who actually wrote many of Donald Trump's Facebook posts!?
25. How driverless trucks for becoming a reality in USA and their dexterity.
26. Use of artificial intelligence by legal software firms.
27. Text forms in the future will control public opinion by owning the platforms on which material is published.
28 . Tech monopolies are more invidious to democracy than Rockefeller or Carnegie.
29. Why in future big Tech companies won't need to lobby or buyout competitors?
30. How Crypto anarchy, Bitcoin, blockchain storage of data might be the only set of ideas that can challenge the check monopolies
31. How it is getting simpler day by day to be a cyber criminal
32. How overuse of Technology will gradually render governments non functional?
33. Twenty ideas to save democracy.