AI Controversies You Should Be Concerned About

“Where we see AI as having limitations are in the obvious areas: emotions, feelings, subjective thinking. Humans are unique in their ability to feel in a very complex way and translate those feelings into emotional connections. Limitations in artificial intelligence will also stem from the degree of precision with which technologists are able to replicate human ‘intelligence’ and decision-making” – Or Shani, CEO, Albert


AI controversy is a burning issue in today’s world. As AI technology advances and its applications become more widespread, so too do the ethical dilemmas that come with it. AI has the power to make decisions that could have a huge impact on society, so it’s essential to be aware of the potential issues that could arise. In this blog, we’ll explore some of the AI controversies that marketers should steer clear of, as well as how to avoid them. Let’s dive in and get the conversation started!

AI Controversies and Concerns

Predicting People

The first AI controversy to avoid is making predictions about people. AI algorithms can be used to make predictions about people based on their data, such as their age, gender, and lifestyle. This can be a very dangerous practice, as it could lead to discrimination and other unethical decisions. If you’ve ever seen the movie Minority Report, you know that predictions can go too far. There’s a difference between targeted marketing and intrusive manipulation. Where we draw that line as a society will be an ongoing challenge for years to come.

Privacy Infringement

Another AI controversy to be aware of is collecting and using sensitive data. Protecting sensitive, personal information has been a hot topic long before the emergence of AI. But as AI is becoming more incorporated into all of our tools, the need for privacy is higher than ever before. AI algorithms can be used to collect and analyze data from people’s social media accounts, emails, and other sources. This can lead to privacy concerns, as well as potential misuse of the data.

AI Controversies You Should Be Concerned About

Implicit Bias

Marketers should be aware of making unethical decisions using AI. AI algorithms can be used to make decisions that are not necessarily ethical, such as manipulating data or making decisions based on biased data. It is important to ensure that any decisions made using AI are ethical and in compliance with any applicable laws or regulations.


Deepfakes are a type of synthetic media in which a person in a video or image is replaced with someone else’s likeness. The real danger and ethical concerns of deepfakes lies in how they can be used to manipulate and misrepresent political leaders’ speeches. This can be incredibly damaging to people’s trust in the media, which is already at an all-time low. This mistrust is dangerous for societies, as mass media is still the primary way that governments communicate with the public in times of emergency, such as during a pandemic.

Avoiding AI Controversies

As a marketer, you should do your best to use AI in a safe way.. Marketers should be aware of the potential ethical issues that could arise from using AI algorithms and act accordingly. One of the best ways to avoid AI controversies with structured, accessible transparency. Anytime research takes place, whether it’s from a for-profit or non-profit company, needs to be publicly shared.

AI developers should also be able to explain how their algorithms work, in detail. This helps predict any potential unethical issues before they happen. Any team working with AI algorithms must be extremely knowledgeable and their goals must be clear. It is also important to have a team with experience in both AI and ethical decision-making to ensure that any decisions made with AI are positive.


The future of AI is bright and exciting, but we must be careful with how we implement this technology into society. Implicit bias, deepfakes, and privacy infringement are just a few of the obstacles that are only exacerbated by artificial intelligence. These problems weren’t created by AI, but it will certainly have to address them. The best way to avoid AI controversies is to be aware of potential ethical issues, use a knowledgeable team, and make sure your goals are clear. By following these steps, marketers can ensure that their AI algorithms are being used ethically and safely.

Comparing Chat GPT and Google Bard

“Chat GPT and Bard both offer unique advantages in terms of data sources. Bard utilizes the internet to continually draw the latest information, while ChatGPT is limited to data sources that end in 2021, meaning its data is more up-to-date but may not contain the most recent information.”


Chat GPT and Google Bard are two powerful Natural Language Processing (NLP) tools that are used to generate text. Chat GPT is a contextual chatbot that uses deep learning to understand and respond to user queries, while Google Bard is a text generation tool that uses machine learning and the power of Google Search to create coherent, human-like text. Chat GPT focuses on understanding the context of conversations and providing natural, human-like responses, while Google Bard focuses on generating text from scratch. Chat GPT is more suited for conversational applications such as customer service bots, while Google Bard is more suitable for applications such as story generation and summarization. Both tools are powerful, but they are best suited for different tasks.

Chat GPT Pros and Cons

Fun Fact: Google created the Transformer model that powers ChatGPT in 2017 with their research project and paper, which has since taken the world by storm. This Transformer model is distinct from their newer, patented Language Model for Dialogue Applications (LaMDA) technology, which Google has used to great effect. The Transformer model is based on the revolutionary Generative Pre-trained Transformer-3 (GPT-3) language model, which has been trained on enormous datasets.

Chatbots powered by GPT technology have the key advantage of being able to generate text quickly and accurately. Furthermore, they are capable of understanding customer inquiries accurately and providing detailed responses almost instantaneously. This makes them a great choice for customer service departments since it helps reduce response times and provide more accurate answers than traditional call centers.

Unlike other natural language processing tools, Chat GPT is open-source and available for anyone to use. This means you don’t have to pay a subscription fee or sign any contracts (for now) – you can just download the software and start using it right away.

Chat GPT is an immensely powerful tool, but it also has some disadvantages that should be considered when deciding whether or not to use it for your projects:


Chat GPT vs. Google Bard Which One Should You Use



Microsoft Joins the Party

The introduction of Bing’s new AI chat is an exciting development in the world of search engines. AI chatbots are designed to provide users with more personalized search results and improved customer service experience. There are several advantages and disadvantages associated with this technology.

One of the key advantages of using Bing’s new AI chat is its ability to provide more accurate and relevant search results. The AI chatbot is able to analyze a user’s query and provide search results that are tailored to their specific needs. This means that users will find the information they are looking for more quickly. Additionally, AI chatbots are able to provide customer service assistance more efficiently than human customer service representatives. This can help reduce customer wait times and improve the overall customer experience.

Microsoft’s decision to up the ante on a $1 billion investment that it previously made in OpenAI in 2019 intensified the pressure on Google to demonstrate that it will be able to keep pace in a field of technology that many analysts believe will be as transformational as personal computers, the internet and smartphones have been in various stages over the past 40 years. Google responded to the pressure by developing Google Bard.

Google Bard

Unlike Chat GPT which has been fed extremely large sets of data (about 570 GB) to create its knowledge base, Google Bard crawls the internet via Google search for its responses. This lightweight model which utilizes the LaMDA infrastructure can access information on the internet to provide human-like texts. Consequently, Google Bard has a more current knowledge base.

Bard has the advantage in terms of reach, access to information, and the types of media it offers.
ChatGPT is often over-capacity, sometimes plagiarizes its answers, and confidently flubs math problems. That is to say, it is flawed. But it is still capable of producing thoughtful, accurate answers to a wide variety of topics. Microsoft plans to integrate the product with its search engine Bing. In terms of market share, Bing accounts for less than one in 10 online searches while Google captures more than 80 percent of the search market. While ChatGPT has more than 100 million users, Google dwarfs that with one billion daily active users. Google’s AI tool has access to real-time information while ChatGPT relies on training on data that ends in 2021. Microsoft has said it plans to use GPT-4 for its Bing integration, which may bring the two products closer together in terms of data quality. For now, Google Bard is only available to a small population Google calls “trusted testers”.

In conclusion, Chat GPT and Google Bard are two powerful Natural Language Processing (NLP) tools that have their pros and cons. Chat GPT is an open-source model that is used to quickly create chatbots and conversational agents, while Google Bard is a text generation tool that utilizes the power of Google Search to create coherent, human-like text. Microsoft has responded to the pressure of Google by creating their own AI chatbot for their Bing search engine. All of these tools have the potential to revolutionize the way we search for information and interact with technology, and it will be interesting to see how they continue to develop in the future. For now, Chat GPT is the winner. But Google Bard has more long-term potential with its ability to tap into the vast repository of information that is Google’s search engine. Follow our insights and check out our recent blog, Chat GPT For Coding: Strengths and Weaknesses for more information.

Chat GPT for Coding: Strengths and Weaknesses

“ChatGPT is incredibly limited but good enough at some things to create a misleading impression of greatness. it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.” – Sam Altman, CEO of OpenAI


Chat GPT (General Purpose Tooling), ChatGPT is based on a powerful language model called GPT-3, which enables it to understand natural language and code. Its ability to generate text and complete text-based tasks has made it immensely popular. While its use case for writing blogs and articles is well-documented, Chat GPT has also become an increasingly popular tool for coding. This tooling is designed to automate coding tasks and make coding easier and more efficient. While Chat GPT certainly has its advantages, it also has some drawbacks that should be considered when deciding whether or not to use it for coding. In this blog, we will discuss the strengths and weaknesses of using Chat GPT for coding tasks.

The Strengths of using Chat GPT for Coding

Chat GPT is a tool that uses natural language processing (NLP) to allow developers to quickly and easily write code without having to manually type it out. Here are some of the benefits:


Chat GPT for Coding JA



The Weaknesses of using Chat GPT for Coding

Despite its advantages, there are some drawbacks to using Chat GPT for coding. One of the main drawbacks is the limitations it has. While Chat GPT can automate certain coding tasks, it cannot do everything. It is not able to create complex programs or accurately detect errors in code. Additionally, the accuracy of Chat GPT is not always perfect, as it may produce code that is inefficient or contains errors. Finally, there are some security concerns with using Chat GPT, as it can potentially open up vulnerabilities in code that could be exploited by hackers.

Chat GPT Research

Of course, when it comes to fixing code errors and website issues, automatic program repair (APR) is not new. But how does Chat GPT stack up?

“We find that ChatGPT’s bug fixing performance is competitive to the common deep learning approaches CoCoNut and Codex and notably better than the results reported for the standard program repair approaches,” researchers write in a new arXiv paper, at Cornell University.

The researchers examined ChatGPT’s performance in bug-fixing by testing it on QuixBugs 40 Python-only problems. After manually checking the accuracy of the suggested solutions, the results showed that ChatGPT was on par with other APR methods, solving 19 of the 40 issues. Moreover, the success rate of ChatGPT with follow-up interactions was 77.5%. Nevertheless, the implications for developers in terms of effort and productivity are unclear. Stack Overflow recently prohibited ChatGPT-generated answers because of their low quality, but the Wharton professor suggested that it can be a great assistant to MBA students, helping them to develop critical thinking.


In conclusion, Chat GPT can be an incredibly useful tool for coding, but it is important to consider its strengths and weaknesses before deciding to use it. On the plus side, it can save time and money by automating coding tasks, and it is easy to use. On the downside, it has limitations, can be inaccurate, and can create security concerns. If you decide to use Chat GPT for coding, it is important to keep these strengths and weaknesses in mind. Additionally, it is recommended to use it for simple tasks and not for creating complex programs. With this in mind, Chat GPT can be a great tool for speeding up the coding process and making it more efficient.