Using AI In the Workplace 

Artificial intelligence (AI) is a type of technology that allows computers and machines to mimic human thinking and problem-solving skills. It's like teaching a computer to think and act like a person! AI can do things that would normally require a human to do, like understanding language, recognizing things, making decisions, and even creating art. There are different kinds of AI, from simple ones that focus on specific tasks, like voice assistants like Siri or Alexa, to more complex ones many that are still being developed, which goals are to be as smart as humans. AI is becoming increasingly common in our daily lives, powering everything from self-driving cars to medical diagnoses. It's a rapidly evolving field with the potential to revolutionize many aspects of our world (IBM, 2024). 

AI is like a super-smart computer brain that learns from a ton of info, kind of like cramming for an exam. It analyzes that info, spotting patterns to make educated guesses about new stuff. Imagine showing a chatbot tons of texts to teach it how to chat or feeding an image tool millions of pictures to help it recognize objects. Python and similar programming languages are the go-to tools for coding this new tech. But AI's not just about crunching numbers and data, it's getting creative too! It can make new images, music, and even come up with fresh ideas. And the best part? It's constantly learning and improving, just like we do as humans (Laskowski & Tucci, 2024). 

Here are some tips for using AI safely at work: 

  1. Be mindful of data privacy: AI often relies on vast amounts of data to learn more information. When a user enters data into the AI, the AI will learn that data and will use it in the future. 

  2. Verify AI-generated information: While AI can be helpful, it's not foolproof. Always double-check information generated by AI systems, especially when making important decisions. 

  3. Be aware of potential biases: AI algorithms can sometimes reflect human biases present in training data. Be vigilant and critically assess AI-generated results to avoid perpetuating unfairness. 

  4. Keep your AI systems updated: Regular updates are essential to patch security vulnerabilities and ensure optimal performance of your AI tools. 

  5. Educate yourself and your colleagues: Understanding the capabilities and limitations of AI is crucial for responsible use. Invest in training to stay informed about best practices and emerging trends in AI. 

  6. Establish clear guidelines: Develop clear policies on how AI should be used in your workplace to maintain ethical standards and mitigate risks. 



  

Sources:

IBM. (2024, March 19). What is Artificial Intelligence (AI)?. IBM. https://www.ibm.com/topics/artificial-intelligence 

Laskowski, N., & Tucci, L. (2024, April 15). What is Artificial Intelligence (AI)? everything you need to know. Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence 

Previous
Previous

From Report to Response: The Role of Tier II Data in Community Safety 

Next
Next

Raising Environmental Awareness: A Personal and Professional Journey