In the news this week, the debate around whether AI will automate jobs away is heating up. Are we ready?
Welcome to The Digital Eye, your weekly roundup of the latest technology news.
Our team of experts have scoured the internet for the most exciting and informative articles so that you can stay up-to-date on all things digital, data, blockchain, AI & analytics.
This week’s the Top Reads:
- HOW AI is eating up the workforce with job automation
- WHY trust & ethics are important to accelerate AI adoption
- Six big digital trends to watch in 2022
- Top Five Machine Learning Innovations in 2022
- WHY Ethics is ‘the new frontier for technology’
Bonus Article:
- READ: 16 irresistible cloud innovations
We hope you find this information valuable and would appreciate your help in sharing it with others who may also be interested.
HOW AI is eating up the Workforce with Job Automation
Examples of AI automating economy:
1. Robo-writers
2. Robo-support
3. Robo-translators
4. Robo-coders
👁️🗨️ Read Article
“The debate around whether AI will automate jobs away is heating up. AI critics claim that these statistical models lack the creativity and intuition of human workers and that they are thus doomed to specific, repetitive tasks. However, this pessimism fundamentally underestimates the power of AI. While AI job automation has already replaced around 400,000 factory jobs in the U.S. from 1990 to 2007, with another 2 million on the way, AI today is automating the economy in a much more subtle way.”
shared by @VentureBeat
WHY trust & ethics are important to accelerate AI adoption
“AI doesn’t just scale solutions, it also scales risks. To build trust, important those developing AI are aware of unintended consequences”.
👁️🗨️ Read Article
“AI technologies have moved faster than society. We need a better understanding of how AI transforms society, who is most affected, why, and the consequences.
Due to the most recent progresses in machine learning, big data and computational power, artificial intelligence (AI) is widely accepted as having the potential to transform every industry and to overcome the biggest challenges facing society. AI may well be a revolution in human affairs and become the single most influential innovation in history.”
shared by @@UKRI_News
Six big digital trends to watch in 2022
1. Improved Social Media privacy/quality
2. #Metaverse
3. #Crypto & #NFT growth
4. AI growth in food and HR services
5. Increased connectivity
6. New workplace, new skills
👁️🗨️ Read Article
“According to recent McKinsey research, 2021 was a year of transformation: people, corporations and society began to look ahead to influencing their futures rather than just surviving the present.
It was the year that premature hopes for herd immunity, an end to pandemic lockdowns, and a return to normality were dashed – at least for now. But aside from the Great Social Media Resignation, during which burnt-out Gen Z workers quit their jobs on TikTok and Instagram, the rise of non fungible tokens (NFTs), and the introduction of the metaverse, the world’s space-going billionaires were as wealthy and productive in business and technology as ever.”
shared by @bigthink
Top Five Machine Learning Innovations in 2022
1. Tiny ML – technologies can shrink deep learning networks to fit into any small hardware system
2. Quantum ML
3. Auto ML
4. MLOps
5. Full stack deep learning
👁️🗨️ Read Article
“The applications of machine learning in the real world have made our daily tasks more feasible, swifter, efficient, and precise. Powered by data science, if machine learning applications are trained accurately, they can complete the tasks way more quickly than humans. This article features the top five best machine learning innovations in 2022.”
shared by @analyticsinme
WHY Ethics is ‘the new frontier for technology’
“Questions about AI ethics AI are uncomfortable, as requires reflection on our own ethics & society generally. Algorithms do not have ethics, but people do.”
👁️🗨️ Read Article
“Artificial intelligence has the potential to transform every industry and to overcome the biggest challenges facing society – but needs to be better understood, according to a report published by UK Research and Innovation (UKRI).
In a blog published by the organisation, Esra Kasapoglu and Sara El-Hanfy of Innovate UK argue that those developing and deploying AI solutions ‘are aware of the dangers and unintended consequences of AI and prepare for them.”
shared by @researchinfo
Bonus Article
READ: 16 irresistible cloud innovations
TOP 3:
1. Edge computing
2. Customizable AI services
3. Scalable machine learning training and prediction
👁️🗨️ Read Article
“Behind the pay-as-you-go pricing model, the public cloud is teeming with the latest and greatest development, devops, and AI tools for building better and smarter applications faster.
When we think of the public cloud, often the first consideration that comes to mind is financial: Moving workloads from near-capacity data centers to the cloud reduces capital expenditures (CapEx) but increases operating expenditures (OpEx). That may or may not be attractive to the CFO, but it isn’t exactly catnip for developers, operations, or those who combine the two as devops.”
The DiGITAL EYE