The Digital Technology Dilemma: Companion or Rival in business?

A Smooth Defence from AI

Have you ever been caught off guard by a tricky question and scrambled to come up with a response? We've all been there. But what if you had an AI chatbot like ChatGPT by your side?

You could simply turn to ChatGPT and say, "Hey, do you know the answer to this question?" And if ChatGPT didn't have the answer, it wouldn't be ashamed to admit it. It would simply say, "As an artificial language model, I was not programmed to have that information, but I'm always learning!" That's a pretty smooth defence.

It is not hard to understand why the introduction of ChatGPT and Bing Chat sparked interest and discussion in many fields, such as commerce, law, computer science, AI and natural language processing.

Some would think they are "cool," while some would think they are "dangerous."

The "cool" ones praise the ability to generate coherent and engaging responses to a wide range of user queries, the speed in providing relevant search results, and its use in applications such as virtual assistants and chatbots that have been regarded as a significant breakthrough in the field of AI.

Besides those unique features, their sense of humour and ability to engage in creative writing tasks are quite powerful, resulting in some serious concerns.

The "dangerous" ones are concerned about a few areas as follows:

1. Bias and ethical considerations: There is a concern that AI language models like ChatGPT and Bing Chat may perpetuate biases or discriminatory language, as they are trained on large datasets that may contain biased information. Additionally, there are ethical considerations regarding using AI in certain applications, such as chatbots designed to mimic human personalities or provide mental health advice.

2. Privacy and security: As these technologies collect and process large amounts of personal data, there are concerns about data privacy and security. There is also the potential for malicious actors to use chatbots or other AI tools for phishing or other cyberattacks.

3. Dependence and trust: As users increasingly rely on AI language models like ChatGPT and Bing Chat for information and guidance, there is a concern that users may become overly dependent on these tools or place too much trust in their accuracy and reliability.

4. Job displacement: There is a concern that the increasing use of AI in chatbots and other applications may lead to job displacement or changes in certain professions, such as customer service or technical support.

A very short brief history of AI for personal use

The birth of AI for personal use can be dated back to the 1960s, with the creation of ELIZA - a natural language processing program designed to simulate a Rogerian psychotherapist.

Although ELIZA may seem relatively simple by today's standards, it was a revolutionary breakthrough at the time, demonstrating that computers could communicate with humans in a more human-like way. This opened the door for many other AI-powered chatbots and virtual assistants that we see in our daily lives today.

One example of early AI for personal use was Mycin, a system created in the 1970s to assist doctors in diagnosing bacterial infections. Mycin used expert knowledge to suggest appropriate treatments based on patient symptoms and laboratory results, providing valuable support to medical professionals.

Fast forward to the 1990s and 2000s, and we saw the emergence of AI-powered virtual assistants like Clippy, the assistant packaged with Microsoft Office ’98; and Siri, Apple’s iPhone companion. These programs were designed to interpret user commands and provide helpful responses using natural language processing.

AI becomes more accessible and more refined

After decades, the development of AI for personal use has reached an advanced stage, with a wide range of applications and devices available to consumers for commercial and personal use.

Today, we are surrounded by countless examples of AI for personal use, such as virtual assistants like Alexa, Google Assistant, and Bixby. These sophisticated systems are integrated into many devices, including smartphones, smart speakers, and smart home systems. They are all powered by advanced natural language processing algorithms and machine learning models that allow them to understand and respond to a wide range of user requests and queries.

Predict, review, and provide support

In addition to virtual assistants, AI is also used in many other ways in the professional services sector. For example, predictive analytics can be used to analyze data and provide insights to professionals in fields such as finance, law, and consulting. Document review can be made faster and more accurately with AI-powered algorithms, while AI-powered chatbots can be used to provide customer support and answer common questions.

Fraud Detection

The possibilities for AI in the professional services sector are endless. With AI-powered fraud detection algorithms, businesses can identify potentially fraudulent transactions and prevent financial crime.

For example, PayPal uses machine learning and artificial intelligence algorithms to detect fraudulent transactions and prevent financial crime (source: PayPal December 21, 2021).

PayPal's fraud detection system analyzes various data points, including transaction amount, location, and device used, to help them identify potentially fraudulent transactions. The system then assigns a risk score to each transaction based on the likelihood of fraud. Transactions with a high-risk score are flagged for manual review, and if possible, the transaction is declined, or further action is taken to prevent fraud.

Multilingual and Engaging

AI-powered language translation can help firms that work across multiple languages and geographies to improve communication and collaboration. In contrast, AI-powered algorithms can analyze customer data and preferences, enabling firms to create targeted marketing campaigns and improve customer engagement.

Many of you enjoy the highly personalized experience on many streaming platforms. For example, Netflix uses machine learning algorithms to analyze viewer behaviour, such as what shows or movies they watch and how long they watch. Moreover, this data is used to create personalized user recommendations and tailor marketing campaigns to specific audience segments.

Overall, AI has come a long way in the field of personal use and professional services, with various applications and devices available to consumers. The continued innovation and advancements in this field promise to bring us even more exciting possibilities in the years to come. Maybe we should all take a page out of the AI chatbot's book and be more comfortable admitting what we don't know and willing to discover more.

Partnering with digital business experts

As we can see, digital and AI technology development is evolving quite rapidly. However, many small and midsize professional services companies may not have the in-house expertise to manage digital technology projects. Not to stagnate or fall behind, it is essential and beneficial to partner with external experts such as digital business consultants who can provide guidance and support.