Most industries are now incorporating AI into the workplace. In medicine, AI models are used to track infections. In manufacturing, it’s used for inventory tracking and robots are now getting programmed with machine learning to become autonomous. Some companies have also used AI to create ads. There are concerns about AI integration costing some people their jobs or students using AI for their schoolwork. There is also a growing need for better legal regulation of AI.
However, there are AI platforms that workers can use to make their jobs easier. This is tricky to navigate because your company may have a policy that prevents you from using AI. Before using it for your job, there are certain considerations to make.
The Rise Of Artificial Intelligence: Dangers, Benefits, Realities And Opportunities Of AI
1. What kind of AI do you plan to use?
AI developers believe that it won’t replace workers, it will only replace workers who don’t integrate it into their work. Artificial intelligence is described as technology that can execute specific tasks designed by a human. But the more prevalent AI being commonly used these days is generative AI. This is artificial intelligence that can create texts, images, videos, music, or code based on user prompts. Generative AI is problematic because it can spread misinformation and disinformation. It often promotes plagiarism and is used for scams and deep fakes.
Predictive AI as shown in emails, docs, and spreadsheets tries to predict what you’re going to type next. Recommendation algorithms such as your social media For You pages rely on neural networks that observe your patterns. Some types of AI are already a part of your daily life. But others can be added to your workday to make things easier. If you need to write a work report, you may not be allowed to use generative AI but you can use assistant tools to check your tone, diction, or grammar.
2. Your company’s AI policy
Once you’re aware of AI tools, look up your company’s AI policy. If the tool you want to use is outside of the implemented programs, you may need to confirm whether you’re allowed to use it. For example, if you work with content, you may not be allowed to use generative AI because all published content has to be original.
Some AI tools are also considered unethical because they don’t take into account certain human traits. AI models often take the bias of the humans who prompt it. According to the MIT Media Lab, some facial recognition software can fail to identify dark-skinned people. Taking this into account, your company may have a policy prohibiting the use of AI for security surveillance or devices like soap dispensers.
AI tools may also have poor data privacy which can get you in trouble if you enter company data into an open-source platform, you can violate information protection policies. Using the tools can also help you cut out time when generating reports. However, the data can be inaccurate. Before using tools, make sure to check reviews to see whether they have a reputation for inaccuracy.
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3. Who does it impact?
Using AI tools in your daily tasks has its considerations for how it affects you. But when it affects others, you have to take steps to ensure it doesn’t cause any harm. For instance, are you using an aggregation tool to monitor your subordinates to determine who should get a promotion? Can you be certain that it wouldn’t perpetuate any biases? If you use AI to track your clients or employees, is that an invasion of privacy?
You may need to disclose any tracking to them and this can create legal problems. A health insurance company was sued by patients for using AI with biases to determine who gets health coverage. Teachers have also come under fire for preventing students from using AI to do homework but using AI to grade their essays. These tools are ethically ambiguous and it’s better to discuss with supervisors the best way forward before integrating AI tools.
4. Who is behind the AI you’re using?
This is important to consider because major tech companies are the largest players in the Artificial Intelligence space. However, they aren’t all fully ethical. It was recently published on Wired that Google has the biggest tracking footprint in the world. The data generated is then sold to third parties who then send you strangely specific ads. Google was also hit with a Ksh36 billion ($270 million) fine in France for using news publishers’ data to train its AI.
Open-source AI tools can avail data entered by third-party users. However, many platforms say that only the source code is available. But since there aren’t any rules regarding open access policies, you can’t be certain that your data will remain private from third parties.
If you work in tech, it is also important to ascertain that the company whose AI tool you’re using doesn’t have any conflicts with your company.
5. Are you properly trained?
Why are you using AI tools? If you’re using it for your job requirements, you have to ensure you know how to use the tool for your tasks appropriately. In addition, you should not try to use AI tools to undercut other forms of human labour. For example, using AI to bypass hiring a graphic designer when you don’t understand what they do can lead to botched results. When you don’t know how to properly prompt a generative tool, you will end up with uncanny valley images. It’s important to know how to use these tools to know what better prompts to feed them. 7 ChatGPT Prompts That Can Help Improve Your Resume
You can also end up with images that are vulgar or offensive because you don’t know how to ask for the right prompts. It can also be a case of the model being flawed because it doesn’t know how to process nuance. For example, Google’s generative AI Gemini, recently came under fire for producing “racially diverse” Nazis. KBC also went viral after it was revealed that they forgot to remove a prompt from their final copy of a story.
Encouraging Data Literacy In Your Organization
KBC using AI …as a news editor edit my news story ,😂😂😂 pic.twitter.com/Hzg71ktGht
— Kachwanya (@kachwanya) March 18, 2024
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The Rise Of Artificial Intelligence: Dangers, Benefits, Realities And Opportunities Of AI
