Ethical AI & fair AI are used interchangeably, but there are differences. To understand the challenges of AI system, we must understand these differences
The results of any AI developed today is entirely dependent on the data on which it trains. If the data is distributed--intentionally or not--with a bias toward any category of data over another, then the AI will display that bias. What is a better way forward to handle this possibility toward bias when the datasets involve human beings?
OpenAI believes that the path to safe AI requires social sciences.
In particular, this article will try to explain some features that HTML has to implement a web scraping tool successfully and how they relate to Python. The primary purpose of this article is to show the usefulness behind web scraping and how statisticians could take advantage of this method
In April, OneZero’s Brian Merchant made the case that the pandemic put an end to the Amazon debate: Considering a long list of abuses at the company, he argues, shopping on its platform is unethical.
I recently ran into this hot take from Uncle Bob Martin (surprise!) on the need for ethics in the software industry. He makes some very interesting points in this interview that I think is worth considering.
In the last decade, the VPN market has been steadily growing, and this growth was spiked even further in 2020. Two main reasons contributed to an even more expansive use of VPN software: 1) Covid-19, quarantine, and work from home set the needs for home network security; 2) cybercrime has been on the rise and cybersecurity became a more common issue.
Improving the Accessibility of Voice Assistants: Doing Things Right. This practical guide aims to help future researchers, like me, collect these valuable datasets quickly without compromising any ethical considerations or data security.
I tried to establish several principles of ethics that will guide me and inform the good data science practice. I also wrote a draft referring to the Hippocratic oath for Data Science that I will share with you in this article.
Charles Humble talks to Anne Currie from Container Solutions, exploring the environmental impact of technology. They look at how technology compares to other industries such as aviation and farming, how the big cloud providers compare in terms of their commitments to reducing carbon emissions, and the impact of the choices made by individual developers and software architects.
Goodhart’s Law for Data Science and what happens when a measure becomes a target? When developing analytics and algorithms to better understand a business target, unintended biases can sneak in that ensure desired outcomes are obtained. Guiding your work with multiple metrics in mind can help avoid such consequences of Goodhart's Law.
Today you will learn how important it is to use images in your posts and where to find the best royalty-free photos and images that you can use on your blogs.
Can We Just Turn Off Dangerous AI? The most common misconception about AI safety.
As data collection is a key concern of the building the ethical machine learning pipeline, it should be framed as an important front-of-mind.
In a perfect world, AI should be developed to avoid unethical issues, but that may be unlikely since those issues cannot always be predicted. In an automated society, human beings will have the responsibility to support and protect each other more than today.
Fairness in A.I. We show that in settings where data exhibits bias along some axes (eg. gender, race), failure modes of Generative Adversarial Networks (GANs) exacerbate the biases in the generated data.
Understanding AI’s future through its two potential states. In this article, I aim to break down what we should expect from these states and the possible ethical issues that could arise when dealing with them.
In this post I’ll be covering the ways in which a junior data professional can go about starting conversations around ethical approaches to analytics especially when they have little to no decision-making power in their larger organization.
We don’t consider ethics as part of the AI creation and development process, even for Narrow AI, we could still unleash tremendous harm on society, even sometimes without realising it.
AI & Multiple Commitments. I am committed to learning more about artificial intelligence (AI) and have been writing one new article about or related to AI every day for 456 days.