Scared of AI? 13 Keys To Leading & Succeeding With AI
ChatGPT will be one year old in November. In its first two months of operation, there were more than 100 million users. It now has 1.6 billion users. Open AI, its parent company, launched in 2015 and has a valuation of $29 billion.
Some leaders, managers, academics and professionals in all niches are scared. Others are eager to embrace the power of this technology.
How best to use this new artificial intelligence tool? And will it replace workers? Will it be the best thing that ever happened to a business owner or entrepreneur?
Sam Altman, OpenAI’s CEO, tells MIT Technology Review, “This is going to impact the job market for illustrators. The amount one illustrator is able to do will go up by, like, a factor of 10 or 100.”
Read more in Take The Lead on AI
Altman adds, “How that impacts the job market is very hard to say. We honestly don’t know. I can see it getting bigger just as easily as I can see it getting smaller. There will, of course, be new jobs with these tools. But there will also be a transition.”
As a leader, entrepreneur, colleague and manager, here are seven key tips to know and ways you can use AI to your advantage.
1. You and your team can be more productive by speeding up data collection.
“Since the chatbot was released to the public last November, Americans in a wide range of professions, including realtors, lawyers, teachers, designers, and marketing professionals, have experimented with ways ChatGPT might make them more productive at work. As more people familiarize themselves with AI technologies — and some businesses begin formally adopting them — they could become increasingly common workplace tools,” according to MSN.com.
2. Use AI to take notes on meetings.
The Guardian reports, “Microsoft launched a premium version of its Teams product backed by ChatGPT, offering AI-powered extras such as automatically generated meeting notes. The tool also divides recaps of meetings into sections, based on the meeting transcript.”
3. Use AI in coding, but do not replace humans who code.
In her blog, Code Like A Girl, Aleksandra Liutikava advises, “From my journey, it’s evident that the tool, when mastered, can unlock significant potential in our day-to-day coding activities.” Liutikava continues, “While ChatGPT can assist, guide, and even teach, it’s not a replacement for the human touch in coding. We, developers, still play the crucial role of orchestrating these tools in symphony. Treat ChatGPT as an ally, a digital companion in your coding journey, but never forget that the art and intuition of programming still primarily reside within us.”
4. Oversee all content AI creates.
Vivienne Ming, founder and executive chair of Socos Labs, as well as an author, told the recent Pride Summit 2023 audience, “AI is one of the most powerful tools ever invented and every day it gets more powerful. What’s important is not looking at AI as magic, but thinking about implications for humans with a powerful tool.”
Read more in Take The Lead on gender bias in AI
5. Use AI for translations. According to Tooltester, “It does a surprisingly good job at translating, even beating more specialized tools such as DeepL in our tests.”
6. Optimize website creation with AI. Tooltester advises, “ChatGPT can help you create a website by giving you ideas for the page structure and specific content, finding keywords for SEO and writing page copy.”
7. Save time and wrap it up with neat summaries of documents and texts. “If you don’t have time to read or understand long documents or pieces of text, ChatGPT can summarize the key details and meaning of a document for you,” Tooltester reports. “ChatGPT can also be used for simply having conversations, asking questions, and getting advice about situations you may be experiencing.”
8. Drawing up contracts and legal documents. The tool can even put together legal contracts and documents, saving lawyers time on repetitive tasks.
9. Use AI for image and video processing. National Institute of Standards and Technology reports, “It is being used in genomics, image and video processing, materials, natural language processing, robotics, wireless spectrum monitoring and more. Trustworthy AI systems are demonstrated to be valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.”
10. Correct mistakes on your content. According to Fast Company, Grammarly “has been using machine learning to parse written communications, detect errors, and make suggestions since 2009. But it’s only recently that the technology has evolved enough to let Grammarly spot truly subtle issues of readability and style, then propose sophisticated revisions to address them.”
11. Build mentorship and resources for your team. Fast Company reports, “Eightfold AI’s Career Hub uses data to help employees find mentors and other career-boosting resources within a company.”
12. Become more efficient. According to NetShopExpert, “AI can perform repetitive tasks much faster and more accurately than humans. AI can analyze large amounts of data and provide insights that can help humans make better decisions.”
13. Save costs for your business and free up colleagues to do other work. NetShopExpert advises, “AI can help businesses save money by automating tasks that would otherwise require human labor.” Additionally, Hewlett Packard Enterprise advises, “Streamline AI and high performance computing workloads across business units to improve performance, helping data scientists, developers, IT teams, and researchers get back to building solutions, gathering insights, and accelerating time to value.”
According to Executive Biz, Pragyansmita Nayak, Chief Data Scientist at Hitachi Vantara Federal, “has been dedicated to bridging the gap between art and science for data-focused solutions across a wide range of federal domains.”
On working with AI, Nayak advises in Homeland Security Today, “Take time with analytics programs. Unknowns will always creep up and unexpected situations will emerge.”
She adds, “Be prepared for those possibilities (intentionally avoiding referencing these as roadblocks and the negative energy associated with it) and keep an open mind. That may include changing the scope of an analytics program or shifting from the original thought. Allow for the data and interim findings from the experiments and the solution exploration to lead the way.“