Follow Datanami:

Tag: ethics

Europe’s New AI Act Puts Ethics In the Spotlight

AI ethics issues such as bias, transparency, and explainability are gaining new importance as the European Union marches towards implementation of the AI Act, which would effectively regulate the use of AI and machine le Read more…

Fighting Harmful Bias in AI/ML with a Lifelong Approach to Ethics Training

Today, artificial intelligence and machine learning technologies influence and even make some of our decisions, from which shows we stream to who is granted parole. While these are sophisticated use cases, they represent Read more…

Can We Trust AI — and Is That Even the Right Question?

AI is becoming more ubiquitous, from everyday voice assistants and online shopping to healthcare and workplace management — but can we trust it? That question was the headline of a panel called “Can We Trust AI?” d Read more…

Are We Ready for the Dangers of Smart Toys?

Forget teddy bears or plush animals–the toys of today are seriously hi-tech. Dolls with facial recognition and robots that learn their owner’s name and behavior are not uncommon, yet parents and tech commentators ali Read more…

Navigating Modern Data’s Dual Mandates: Access and Governance

We’re in the midst of a tumultuous shift when it comes to how organizations use data. On the one hand, the drive to use data to make as many decisions as possible is palpable. On the other hand are the growing security Read more…

Don’t Forget the Human Factor in Autonomous Systems and AI Development

It goes without saying that humans are the intended beneficiaries of the AI applications and autonomous systems that data scientists and developers are creating. But what’s the best way to design these AI apps and auto Read more…

How Does Your AI Work? Nearly Two-Thirds Can’t Say, Survey Finds

Nearly two-thirds of C-level AI leaders can’t explain how specific AI decisions or predictions are made, according to a new survey on AI ethics by FICO, which says there is room for improvement. FICO hired Corinium Read more…

To Bridge the AI Ethics Gap, We Must First Acknowledge It’s There

Companies are adopting AI solutions at unprecedented rates, but ethical worries continue to dog the roll outs. While there are no established standards for AI ethics, a common set of guidelines is beginning to emerge to Read more…

A Nutrition Label for AI

It can be difficult to understand exactly what’s going on inside of a deep learning model, which is a real problem for companies concerned about bias, ethics, and explainability. Now IBM is developing something called Read more…

AI Experts Discuss Implications of GPT-3

Last July, GPT-3 took the internet by storm. The massive 175 billion-parameter autoregressive language model, developed by OpenAI, showed a startling ability to translate languages, answer questions, and – perhaps most Read more…

Governance, Privacy, and Ethics at the Forefront of Data in 2021

As we continue to gear up 2021, it’s hard to envision the topics of data governance, privacy, and ethics not becoming more pressing topics for companies. While the rewards of using data are great, so too are the risks Read more…

Algorithm Gets the Blame for COVID-19 Vaccine Snafu

Managers at Stanford Medical Center blamed an algorithm for their decision not to give the COVID-19 vaccination to 1,300 residents and fellows working as frontline physicians in the hospital, much to the displeasure of t Read more…

2020: A Big Data Year in Review

There are two weeks left in 2020, which means it’s time to exhale a bit and see where we’ve gone. It’s been a bumpy ride over the previous 50 weeks, for sure. But big strides have also been made for those pursuing Read more…

The Maturation of Data Science

Data science used to be somewhat of a mystery, more of a dark art than a repeatable, scientific process. Companies basically entrusted powerful priests called data scientists to build magical algorithms that used data to Read more…

LinkedIn Unveils Open-Source Toolkit for Detecting AI Bias

As AI becomes increasingly integrated in our day-to-day lives, the implications of bias in AI grow more and more worrisome. Training data that appears impartial is often influenced by historical and socioeconomic factors Read more…

IBM To Stop Selling Facial Recognition Technology

In a nod to the national discussion on racial equality and law enforcement, IBM CEO Arvind Krishna yesterday announced that IBM will no longer sell facial recognition technology. He also called for greater transparency i Read more…

Facial Recognition in the Ethical Crosshairs

Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. However, despite the progress, f Read more…

AI Ethics Still In Its Infancy

AI is having a moment in the sun. There's no doubt about that. But despite the trillions in value that AI is expected to bring over the coming years thanks to widespread automation of repetitive tasks through emergent te Read more…

High Growth Companies Extending Their Lead with AI

Knowing what to invest in has always been a key differentiator in business. Those that do it well tend to thrive, while those that do it poorly tend to stagnate and die. These days, fast-growing companies are choosing to Read more…

Surviving the Coming Data Governance Wave

A data governance wave is building in the United States. If you put your ear to the ground, you can hear it rumbling. It's inevitable that new regulations eventually will emerge that dictate how companies must ensure the Read more…

Older Entries
Datanami