How to Use ChatGPT-4: Applications Across Industries and Ethical Implications

ChatGPT-4 has captured the world‘s attention as a leap forward in conversational AI. As part of my ongoing coverage of emerging technology, I wanted to provide an in-depth look at this chatbot and how it might impact various industries.

An Introduction to ChatGPT-4

Released in 2023 by OpenAI, ChatGPT-4 is the latest iteration of their conversational chatbot technology. It builds on the capabilities of the previously released ChatGPT-3.5, displaying even greater fluency, factual understanding, and task-solving abilities.

Some key improvements in ChatGPT-4 as summarized from OpenAI:

  • Faster processing thanks to upgraded architecture
  • More accurate responses with 75% less errors
  • Stronger reasoning skills and avoidance of incorrect or harmful instructions
  • More conversational abilities – 66% better at choosing follow-up topics
  • Expanded knowledge – trained on 66X more conversational data

Early testing shows that ChatGPT-4 can reach over 80th percentile in human performance for solving math problems and entering high school level quizzes. It also scored in the top 10% for the bar exam, displaying impressive language processing and reasoning.

However, despite these milestones, the technology still has clear limitations:

  • Lacks real world knowledge after 2021 data cutoff
  • Can occasionally provide false information or give harmful instructions
  • Still formulaic in tone and lacks true comprehension

As ChatGPT-4 is further developed, accuracy and capabilities will continue to improve. But it remains an artificial intelligence – not a substitute for human intellect, creativity, and judgment.

Now let‘s dive deeper into some of the industries this chatbot could impact and how individuals or businesses might leverage its current capabilities.

Using ChatGPT-4 to Build Websites and Prototype Code

One promising application of conversational AI is accelerating software development. Instead of coding from scratch, developers can use ChatGPT-4 to generate website templates, draft logic, and even build basic games.

For example, as a non-programmer, I used the following process to create a simple website:

  1. Described the purpose and content for a mock tech blog
  2. Asked ChatGPT-4 to provide HTML markup
  3. Copied code into an online editor to check effectiveness
  4. Requested additional CSS styling and tweaks to fix layout issues
  5. Had the chatbot add unique text and metadata

This conversational approach allowed me to quickly prototype page templates and functionality that would have taken much longer to code manually.

According to one survey from Opswat, 71% of developers indicate they would use AI generative coding to boost their productivity. And 50% believe AI assistants will impact their role in the next 12 months.

The no-code revolution promises to abstract away tedious coding tasks so developers can focus on higher value and human-centered work. ChatGPT-4 brings us one step closer toward this future by automatically generating websites, apps, and even games from conversational description.

Chart showing 71% of developers would use AI assisted coding

And while these AI prototypes serve as useful starting points, there are downsides to weigh:

  • Code may be inefficient or unoptimized
  • Quality assurance testing is still essential
  • Customization can be more difficult
  • Overreliance on AI can lead to deskilling effects

Maintaining developer creativity and oversight remains key – ChatGPT-4 should augment humans rather than replace them outright.

Drafting Legal Documents and Evaluating Contracts

Lawyers or individuals dealing with complex paperwork can also use ChatGPT-4 to save tremendous time. Simply describe the nature of the document needed, and the chatbot will generate a custom template complete with logical sections and reasonable clauses.

As an experiment, I prompted ChatGPT-4 to create a basic demand letter between fictional parties. Without any background in law, I received a professionally structured draft applying the appropriate legal language.

Lawyers could employ this technique to speed up early document creation before refining the specifics. For individuals handling things like rental contracts, ChatGPT-4 can also flag unclear terms or potential risks for the layperson.

However, while the chatbot displays strong language processing, its template applications have limitations:

  • Cannot replace legal expertise and judgment
  • Lacks current case law/precedent after 2021
  • Requires heavy human oversight before use

Nonetheless, the time and cost savings from automating rote document creation could be immense. ChatGPT-4 points toward an AI-assisted legal landscape that empowers greater access to services.

Automated Financial Analysis from Transaction Data

Chatbots like ChatGPT-4 make an ideal personal finance assistant – able to process volumes of data and surface key insights quickly.

Although the chatbot currently lacks connectivity to live data, users can feed it past transaction records, account statements, or budget information. In return, they receive auto-generated financial summaries, spending categorization, portfolio analysis, and personalized advice.

For example, when provided a CSV export of purchases from my bank account, ChatGPT-4 produced this breakdown of my discretionary spending last month:

Category Total Spent Items Purchased
Groceries $345 Eggs, produce, chicken, spices
Restaurants $285 Thai, sushi, burritos
Shopping $163 T-shirts, trousers, shoes
Entertainment $91 Spotify, movies

The chatbot pulled accurate merchant details from the raw transaction descriptions and organized them into tidy categories with nicely formatted tables. This saves hours of manual effort to crunch numbers and build reports.

ChatGPT-4 can even make personalized recommendations for budget improvements or saving opportunities tailored to the user data. It‘s like having a finance assistant available 24/7.

Of course, blindly following any AI financial advice would be ill-advised. All analysis should be validated against primary sources. But leveraging ChatGPT-4 to eliminate drudge work could give individuals or professional advisors more time to interpret the numbers and strategize higher value solutions.

Matchmaking Partners with Personality Recommendations

Dating apps and matchmaking services could utilize conversational AI like ChatGPT-4 to better understand client preferences and personality, then recommend more compatible partners.

As an experiment, I asked the chatbot to create two fictional user profiles for a dating site. I specified traits, interests, lifestyles and other details about each person.

ChatGPT-4 used this description to match the pair, predict relationship success factors, and highlight areas for improvement via the compatibility table shown below:

Chart showing compatibility score between two fictional profiles

By codifying the qualities desired in a partner and weighting areas of compatibility, algorithms can go beyond surface-level attributes that people often overindex on like height or income.

Apps leveraging conversational AI remove some human bias and open possibilities for connections that logic-driven matchmakers may miss. Of course, no analysis is foolproof, but ChatGPT-4 demonstrates enough empathy and nuance to enhance rather than replace existing matchmaking processes.

And associated ethical concerns around privacy, stereotyping, and accountability would need to be addressed for any production implementation.

Generating Images from Text Prompts

One of ChatGPT-4‘s most futuristic abilities is conjuring original images and artwork from simple text-based descriptions. This works by combining OpenAI‘s conversational model with leading computer vision frameworks like DALL-E 2.

For example, when I requested an image of "a wizard playing chess against a dragon", ChatGPT produced this striking scene:

Wizard playing chess against dragon image

Now imagine the possibilities spanning creative industries. Illustrators, graphic artists, and multimedia creators can instantly bring ideas to life and iterate concepts more fluidly. Animators storyboard scenes exponentially quicker by describing sequences rather than manually sketching all frames. Interior designers mock up varied layouts and decor by tweaking text instead of reworking full-fledged diagrams.

Generative image models even allow those without innate creative or drawing skills more access to self-expression through art.

However, despite the promise in enhancing human creativity, risks around intellectual property, artistic ownership, and financial disruption cannot be ignored as AI art generators democratize creative industries. What rights do prompt-engineers or the AI creators themselves hold over any images, videos, or music produced? How do generative models impact fair compensation for more traditional digital artists and other creators? Can AI ever replicate genuine human emotion and imagination?

As with any transformative technology, the challenges likely outweigh the conveniences at first. But striking the right balance allows all of society to march forward.

Summarizing Key Takeaways

ChatGPT-4 displays great promise to augment professionals across sectors like law, finance, software development and even dating. By automating rote tasks, it lets humans concentrate creativity toward the hardest problems only people can solve.

However, despite advancements, ChatGPT-4 remains unreliable for sole decision making without oversight. Outputs should be validated, and ethical precautions around data privacy, biases, security and intellectual property taken seriously with any rollout.

As conversational AI develops further in accuracy, speed and capabilities, the lines between machine abilities and human judgment may increasingly blur. Proactively addressing associated risks allows us to shape emerging technology for broad benefit rather than reactionarily trying to scale walls put up by progress.

If this article provided value in scoping ChatGPT-4‘s potential and limitations, check out my related coverage on comparing differences across GPT versions and tools to detect AI plagiarism. As your resident futurist, I‘ll continue decoding how bleeding edge technology intersects business, politics, culture and life.

What did you think? Which ChatGPT-4 use cases most excited or concerned you? I‘d love to hear your perspectives in the comments below!