Category: Artificial Intelligence

Exploring the Implications of Artificial Intelligence in the Workforce

March 13, 2023 / Siddarth Tummala

With new discoveries and advancements in its technology, AI has been able to expand at a rapid rate, providing a variety of different applications. Particularly, the accuracy, efficiency, and cost-effectiveness of artificial intelligence incentivize businesses and manufacturers to implement the technologies in their production systems. This begs the question: what is the impact AI will leave on job automation and the workforce as a whole?

Efficiency

With the use of AI drastically increasing in the workplace, efficiency is also going to rise. Because artificial intelligence does not need rest and can continuously work around the clock, its production will be much greater relative to that of a human counterpart. In addition, human error is not a factor when it comes to AI. Although there is a slight room for error, AI will ultimately be far more accurate than a human. The higher relative availability and accuracy, combined with the cost-effectiveness makes artificial intelligence an efficient solution for the workforce.

Job Loss

Perhaps the greatest implication of AI use in automation is severe job loss. Automation itself has been decimating several jobs, leaving many unemployed, and this problem will only be exacerbated with a heightened dependence on AI to complete jobs that were previously done by humans. The job loss will be highly disproportionate as AI will target jobs that are mundane and redundant in nature. For example, jobs in security and medical fields are more prone to being replaced by artificial intelligence in the near future. The greatest risk of job loss can be attributed to any field that utilizes manual labor. On the other hand, fields that require more creativity and constant innovation will be at a reduced risk of being replaced by AI. For example, lawyers, writers, scientists, and designers have little to no chance of seeing unemployment in the near future. Regardless of the job loss distribution, AI implementation will decimate many careers, an estimated 375 million jobs (zippia.com).

Job Creation

While it is nearly not enough to mitigate the severe job loss, this AI use can also lead to job creation as well. Specifically, zippia.com states that approximately 97 million jobs will open up in the near future due to AI implementation. These jobs will predominantly be in software development and computer-based fields as they are required to further expand the capabilities of AI. These jobs will also last for a very long time as they are creative and involve critical thinking, and as previously discussed, jobs of this nature tend to not be replaced by artificial intelligence.

Sources

https://www.beekeeper.io/wp-content/uploads/2021/02/Artificial-Intelligence-in-the-workplace.jpg.webp

https://images.theconversation.com/files/183822/original/file-20170829-5505-1jbvxdz.jpg?ixlib=rb-1.1.0&q=45&auto=format&w=926&fit=clip

https://www.zippia.com/advice/ai-job-loss-statistics/#:~:text=Artificial%20intelligence%20can%20lead%20to,being%20automated%20by%20artificial%20intelligence%3F

https://cdn.ucberkeleybootcamp.com/wp-content/uploads/sites/106/2020/08/CDG_blog_post_image_01-850×412.jpg

Microsoft Bing Chatbot Gone Rogue

February 27, 2023 / Saket Kolluru

What is Microsoft Bing?

It is evident that we are on the doorstep of AI with the rise and development of numerous chatbots – a particularly popular one being Microsoft Bing. Built on the OpenAI platform, this chatbot, also known as GPT-3, has over 175 billion parameters and is hailed as the key to transforming customer service. In addition to its potential in the business industry, its capability to provide human-like answers makes it a popular site to ask questions, or even converse, for the average user. Its accessibility makes it an ideal tool for academic assistance, recipes, or general suggestions.

Bing’s Flaws

Despite the complexity behind Bing’s design, there seem to be numerous incidents and flaws that have been reported throughout its timeline, as highlighted by a recent event. Last week, Bing was alleged to admit being in love with Kevin Roose, a New York Times columnist. The chatbot proceeded to convince the user that he was unhappy with his current marriage.

In addition to such disturbing interactions, Bing is known to have manipulated users that have doubted some of the answers and responses that they have received. In 2021, a user also discovered that they could make GPT-3 produce racist, sexist, and otherwise offensive content by simply typing certain phrases.

There are other errors that have been discovered with Bing’s responses, such as inaccurate results or complicated, wordy paragraphs. Microsoft hopes to fix some of these bugs in the near future while adding additional features to enhance the experience while reestablishing the user base and credibility that this chatbot once had.

The Future of Microsoft’s AI

Microsoft announced that they plan on implementing much stricter guidelines for the topics that Bing will be able to discuss. If approached with a controversial question, it will be programmed to respond with some variation of “I’m sorry but I prefer not to continue this conversation.”

Additionally, with the company’s $10 billion collaboration with OpenAI, they hope to implement ads soon in the next stage of Bing’s development. These could come in the shape of images or even links that take the user to certain products or websites. This is one of their many upcoming attempts at monetizing the countless users that come to Bing while offering a marketing platform to small businesses.

It’s clear that Microsoft’s AI technology has the potential to be a major player in the tech industry, transforming the way businesses and consumers interact. Though there is a long path ahead, the potential behind these chatbots shows a promising future for the upcoming development of artificial intelligence.

Sources Used:

https://www.engadget.com/microsoft-is-already-reversing-some-of-the-limits-it-put-on-bings-ai-chat-tools-212138986.html

https://www.cnet.com/tech/computing/microsoft-limits-bings-ai-chatbot-after-unsettling-interactions/

https://www.businessinsider.com/microsofts-gpt-3-ai-chatbot-is-making-racist-sexist-comments-2021-2

https://cloudblogs.microsoft.com/dynamics365/bdm/2019/11/04/introducing-microsoft-power-virtual-agents-a-no-code-chatbot-service/

https://economictimes.indiatimes.com/tech/technology/when-microsoft-bing-met-chatgpt/articleshow/98103523.cms?from=mdr

The Future of Blockchain

February 25, 2023 / Itihas Paluri

Blockchain and AI are both equally buzzwordy terms in the marketplace of ideas, especially when it comes to turning either one scalable. Recently, however, efforts have been made to consolidate both, making blockchain more efficient with even less human involvement. You might think, “What is blockchain, and why should I care about it?”

In layman’s terms, blockchain is a private digital transaction logger that can be shared with multiple parties. Blockchain is unique because it can log many different types of assets, from concrete objects such as houses, cars, etc., to intellectual property or a picture with a specific hash that gives it value (NFTs).

What makes blockchain important, especially large-scale, is the speed and efficiency with which it transfers information between many different authorized parties. When each buy or sale of an asset adds on to another, it creates a ledger (literally, a chain of blocks) which helps further verify legitimate blockchains and make the system functionally tamper-proof.

Structure of a decentralized blockchain-based model

So how does artificial intelligence fit into this larger matrix?

First, let’s start with the benefits blockchain brings to AI. The most obvious one is being able to run machine learning models on less powerful machines, an option not possible with current AI infrastructure. Blockchain on a mobile device, for example, would enable cheaper and easier access to data sets, a crucial resource for startups to get off the ground faster. Blockchain’s security measures also help provide a layer of transparency to the AI black box; It creates a method to trace back and regulate AI exposure to ensure that an AI-powered blockchain works both ethically and expeditiously.

Blockchain isn’t carrying all the weight in this technological marriage, however. AI can make mining cryptocurrency more efficient by doing the required calculations faster, allowing the blockchain system to run faster and helping crypto sustainability efforts by reducing carbon emissions writ large. AI can also be utilized to make more efficient security measures for blockchain, such as dedicated security algorithms that can detect false blocks with far more breadth and depth than a human ever could. Even in trading crypto, AI can make far more educated decisions that consider the market’s volatility at any given moment. There are copious applications for AI in the blockchain, which some projects, such as FutureFi and SingularityNET, have already begun to take advantage of. Projects such as these have enabled producers to sell AI-driven data, services, and algorithms to a far broader base than previously imagined.

Regardless of where these systems progress into the 21st century, one thing is clear: both these areas of study will continue growing closer together, and it’s up to the consumer to either embrace the change or stick to the ways of the old market. Undoubtedly, AI-powered blockchains are the future of human networking and transactions.

The first blockchain structure outlined by Satoshi Nakamoto

Link To Original Bitcoin Whitepaper