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Digital Trust 2019: Trends in The Artificial Intelligence Era
Artificial intelligence (AI) has rapidly developed in recent years. Today, AI tools are used widely by both private and public sector organizations around the globe. The capabilities of AI now and in the near future are creating extensive and significant benefits for individuals, institutions and society.
The foundation of AI is data and understanding the patterns in these data to make a smarter automated task. The collection of these data is increasingly controlled by regulations and user preferences. Organizations must answer questions such as how to deliver practical compliance with data protection laws and norms when building and implementing AI technology and on the tension between AI and existing data protection legal requirements.
If the AI service cannot provide an appropriate level of trust, this data may not be available over time. Without trust, there is no data. Without data there is no AI. As a result, organizations have both an opportunity and an obligation to develop principles, best practices and other accountability tools to encourage responsible data management practices, respect and even reinforce data protection, and remove unnecessary barriers for the future development of these innovative technologies. However, in2019, trust will be essential for success. Below are five forecasts of tensions related with data protection.
Trust becomes the new currency
Shakespeare wrote, “Love everyone, trust a few, do no harm to none”. Those vendors who can build long-term trust with their customers have unique added value. Very few will be able to achieve this and thereby increase their enterprise value. Trust will be given a monetary value in 2019 and we will move towards a trust-based economy.
Data ethics will become more important as a discipline
The foremost practical question for data ethics is whether there is anything special about data such that collecting, manipulating, and applying it requires a distinct code of ethics. On 20 November 2018, the United Kingdom founded the Center for Data Ethics and Innovation, the first public body to address the “new ethical issues arising from the rapid development of technologies such as artificial intelligence”. The way data is used today is more than just a technical phenomenon. It’s a political, social, and even mythological phenomenon that has consequences for how we organize our lives and express our values. Whatever ethical principles are developed in connection with data, they should account for dynamics that extend beyond technical limitations. Data analytics should be viewed as a phenomenon with consequences beyond technology, and the community should demand that data scientists and practitioners consider those consequences.
In 2019, data ethics as a discipline will become increasingly important in both governments and academia. Most discussions so far about AI ethics have focused on the results of the AI, not the data inputs fed by the AI. These new institutions will focus on inputs and should be taken seriously by providers as they are both a source of best practices and a pioneer for future legislation.
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Everyone will shout, “Trust me!”
‘Trust’ will stand in the slogan or marketing message of all AI and modern technology providers. Although consumers place a high value on trust and integrity, they will only find a few useful landmarks in marketing noise. “Who should I trust?” May not be so easy to answer in the blink of an eye.
Surprisingly, consumers will give dubious providers a second chance
Given the hurly-burly and lack of an objective, easy-to-use test of trust, consumers will not really know how to value trust and what action to take when it’s lost. As a result, consumers will not drop these providers in 2019 due to a first breach of trust, which unfortunately continues to support negative business practices. However, these second chances will gradually disappear as consumers learn to answer the question “Why should I trust you?”.
Often, data will disappear
This year, some providers that collect data improperly, will get caught and go through legal or/and economic consequences. Others will slip through. But in both cases, nobody will know what actually happened with his data. Many are expected to land in the black market. But on the basis of regulatory requirements of GDPR, industry will be forced to adopt sever guidelines for the use and processing of data.
These are all big challenges, as they occur in many technologies with disruptive potential in the early stages. But can the technology industry really talk about trust? As Albert Einstein said, “Anyone who does not take truth in small matters cannot be trusted in large ones”. In 2019, we will see the first generation of AI startups trusted by credible, sustainable, deep-rooted value and not a marketing slogan. Only then will Artificial Intelligence be able to assert itself in a sustainable way to truly change life.