Who should I trust with my data? are decentralised technologies the answer to achieving ethical and lawful data governance practices?
Source: PROTECT Think-In Resources
Who should I trust with my data? are decentralised technologies the answer to achieving ethical and lawful data governance practices?
Source: PROTECT Think-In Resources
We need to foster trust in social scienceThese insights are not new. But unfortunately they run against the grain of current systems and incentives for academic impact, which focus on identifying outcomes produced by individual research groups or pieces of research.This means that social scientists are not sufficiently recognised or rewarded by their institutions or research communities for media engagement, relationship-building, or for joining up and communicating bodies of research (beyond their own). This implies the need for a rethink of how we value and reward engagement: we need to adjust models and incentives to encourage practices that foster trust in social science.
How could we possibly trust what we don’t understand?Now that we’re automating things where we couldn’t have handcrafted that model (recipe/instructions) — because it’s way too complicated — are we seriously expecting to read it and fully grasp how it works? A recipe with a million boring items is something that a computer can remember easily, but it will overwhelm your limited human memory capacity.
Source: Explainable AI won’t deliver. Here’s why. | by Cassie Kozyrkov | HackerNoon.com | Medium
The thirty-year-old pilot whom I had observed thought that the autonomy “was cool,” but he paddled off even when his plane had the potential to achieve a good offensive angle. “I wanted to basically figure out my limits with the A.I.,” he told Woodruff. “What is too conservative, and what is going to get me killed. And then find that happy medium.”Schnell’s graduate student, who can’t be named because he’s on active duty in the military, came over to listen to the debriefing. “You would be the perfect example of someone we’d need to influence, because—and I do not mean this to be rude at all—you completely violated the construct of the experiment,” he told the pilot. “You were deciding to not let the A.I. do the job that it’s put there to do, even though it was actually performing fine in the sense of not getting you killed. If we want to make you a battle manager in thirty years, we’d need to be able to push that behavior in the opposite direction.”
“Determine how trustworthy a person is in just one minute.” That’s the pitch from DeepScore, a Tokyo-based company that spent last week marketing its facial and voice recognition app to potential customers and investors at CES 2021.Here’s how it works: A person—seeking a business loan or coverage for health insurance, perhaps—looks into their phone camera and answers a short series of questions. Where do you live? How do you intend to use the money? Do you have a history of cancer? DeepScore analyzes the muscular twitches in their face and the changes in their voice and delivers a verdict to the lender or insurer. This person is trustworthy, this person is probably not.
Source: This App Claims It Can Detect ‘Trustworthiness.’ It Can’t – VICE
Iyad Rahwan: How to trust machines?Machine intelligence plays a growing role in our lives. Today, machines recommend things to us, such as news, music, and household products. They trade in our stock markets and optimise our transportation and logistics. They are also beginning to drive us around, play with our children, diagnose our health. How do we ensure that these machines will be trustworthy? This lecture explores various psychological, social, cultural, and political factors that shape our trust in machines and pleads for the accomplishment of the challenges of the information revolution not only to be understood as a problem of computer science.
Previously we build Semaphore 148 allows static anonymous reputation system. Here we propose an expansion of Semaphore where we can destroy a users reputation without knowing their Identity. We use this to build a binary reputation system which can trivially be expanded to a non binary reputation system.
Source: Anonymous reputation risking and burning – zk-s[nt]arks – Ethereum Research
We have studied trust for 20 years and believe that it is the ultimate currency in the relationship that all institutions—companies and brands, governments, NGOs and media—build with their stakeholders. Trust defines an organization’s license to operate, lead and succeed. Trust is the foundation that allows an organization to take responsible risk, and, if it make mistakes, to rebound from them.For a business, especially, lasting trust is the strongest insurance against competitive disruption, the antidote to consumer indifference, and the best path to continued growth. Without trust, credibility is lost and reputation can be threatened.Edelman’s trust research, the Edelman Trust Barometer, turns the deep data we collect into real-world insights, and our trust consulting platform, Edelman Trust Management, interprets those insights to help our clients plan, make decisions and take action.
Source: Trust | Edelman
China’s plan to establish a social credit system (SCS) has aroused the concern of building a surveillance state. Yet this view oversimplifies and misunderstands the essence of the SCS. The highest priorities of the SCS are promoting economic credibility and reinforcing court orders. Meanwhile, the SCS aims to steer citizens’ social behaviors and interactions by utilizing a redlist system that introduces numerous moderate rewards. The SCS is also more lax in execution than in planning. It reflects a unique Chinese understanding of law, which treats law as a moral guide. This article also acknowledges the concerns for the SCS. Without actively preventing positive and negative invasions in the construction of the project, the SCS authorities will risk creating further mistrust in society.