Hot on the heels of new research that puts trust in big tech ahead of the police, government and others, we thought it necessary to investigate what is trust in a digital world.

Trust is one of the most abused words in the western world. It is also one of the most overarching words that no one can adequately define. For it is a ‘belief’ – not an absolute – more of a guideline really.

Trust

The dictionary says the closest synonyms are hope and faith that the other party will act according to a long-established set of moral or legal mores (traditions). In Australia, we expect these to be ‘western’ traditions; our multi-cultural community chooses to live here because of that.

  • If you go to the shop, you expect the shop keeper to deal fairly and warrant the goods (but in a digital world that expectation is frequently ignored)
  • If you drive on the road you expect other drivers to obey traffic laws, not drink/drug drive and use a mobile phone (but in a digital world there are no laws to obey and ‘train wrecks’ are common)
  • And your definition of trust could be very different from mine (trust in a country of billions is very different from a country of millions).

I could go on, but I think you get my drift – the digital world is lawless, faceless and anarchy prevails (and it is in the interests of cybercriminals that it does). Anyone that tells you otherwise is abusing your trust.

The digital trust problem is that you cannot look a person in the eye, judge their mettle and shake on it.

Human to human connection is the basis of trust. The digital world is, for the most part, faceless and often shady. And with the plethora of fake websites and counterfeit goods, you don’t know what is real any more.

Recently the founder of the web Sir Tim Berners-Lee launched a plan to save the web from such “political manipulation, fake news, privacy violations and other malign forces that threaten to plunge the world into a digital dystopia”.

Tim has a great idea – a contact for the web, and it is a great start but sadly, it is going nowhere fast.

Trust

Cutting to the chase the web is all about making rivers of money. For example, if FAANG et al. are advertising-driven, there is no incentive to change their Fakebook policies. Shareholders demand continued share price growth and generous dividends that Facebook happily delivers. It’s a modern-day twist on Robbing Hood – take from the poor (us) and deliver to the rich (shareholders).

Edelman Trust Barometer is 20-years-old

Its 2020 report is sobering. Instead of a bright future, a majority in every developed market do not believe they will be better off in five years. WTF?

There are now two very different trust realities – those that trust (generally well informed and only represent 17% of the global population) and those that do not (Mass and 83% of the population). Distrust is driven by a growing sense of inequity and unfairness in the system. The perception is that institutions increasingly serve the interests of the few over everyone. And there is a massive distrust in technology.

Trust

In 2020 people will grant their trust based on two distinct attributes: competence (delivering on promises) and ethical behaviour (doing the right thing and working to improve society). This year’s Trust Barometer reveals that none of the central institutions (Government, Business, Media and NGOs) are both competent and ethical.

But what about trust in AI, robotics and future tech?

There is that word again – trust. What do we mean? It is Asimov’s three laws of robotics

  • A robot may not injure a human being, or, through inaction, allow a human being to come to harm.
  • A robot must obey orders given it by human beings, except where such orders would conflict with the First Law
  • A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

Well, as we know, that did not stop HAL, Lost in Space Robot, Terminator et al. from killing humans. In all cases, AI found the impediment to future happiness and prosperity was to rid the world of inefficient humans. Or put bluntly while these rules appear to be reasonable, they are based upon human concepts. Humans can be evil; machines do what they are programmed to do.

Trust
Yes master

Algorithms (AI/ML) are incredibly literal. They pursue the ultimate goal and do exactly what is told while ignoring any other, important consideration. They cannot be trusted in the traditional sense of the word because they do not work for you. What started as AI being our tool has moved well past that – we are AI’s tool. If you have a spare eight minutes, this is a great video to explain AI and machine learning.

GadgetGuy’s take – There can be no trust in a digital world without tearing down the existing precepts and finding new ones.

For example, if we decided that privacy was our number one consideration, then could FAANG exist without a paid model? We need to ask. “What data are you asking me to share, and how else are you using that data?” Let’s stop our data being rivers of gold – or at least have perfect control over its use.