Humans are wired to make tough decisions bringing all the context and principles to bear. Similarly, can devices apply the available information to make the right judgment calls? In this series, we shall discuss some ethical dilemmas faced by emerging technologies.
Understanding and combating issues of fairness in supervised learning. “Being good is easy, what is difficult is being just.” ― Victor Hugo “We need to defend the interests of those whom we’ve never met and never will.” ― Jeffrey D. Sachs Note: This article is intended for a general audience to try and elucidate the complicated nature of unfairness in
Despite the ability to continuously collect data, is it possible to introduce the "gray thinking matter" into the IoT? Only humans can think like humans. The manner and extent to which ethics are applied defines our character and varies person to person. So, what could we do then to build ethics into the device that drives the trolley?
Introduction Access to and control of data is one of the biggest challenges faced by data analysts and data scientists. Creative, persistent analysts find ways to get access to at least some of this data but doing that efficiently in a way that is also standardized and centralized for everyone on the team is difficult.
Introduction: Prediction is a tricky business. You have to step outside of your comfort zone, your fainted vision of the world and see it thorough across all possible dimensions. In this series, we will discuss the future of “AI”, applications that are yet unexplored.
Introduction: Certain skill sets suit certain positions better than others, and this is why the path to data science is not uniform and can be via a diverse range of fields such as statistics, computer science and other scientific disciplines. This series aims to present 3 aspects of ‘How to become a Data Scientist’ starting
Incubated in Harvard Innovation Lab, Experfy specializes in pipelining and deploying the world's best AI and engineering talent at breakneck speed, with exceptional focus on quality and compliance. Enterprises and governments also leverage our award-winning SaaS platform to build their own customized future of work solutions such as talent clouds.