“This is your digital assistant; how can I help you?”

8

October

2021

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Over the last few years, the application of speech technology has become increasingly popular (Moore, 2017). Speech technology mainly consists of speech recognition, which transforms spoken words into text, and natural language processing, which aims to actually understand this text and convert it into understandable and analysable data (Chowdhury, 2003). Therefore, it can contribute to the gathering of knowledge about the needs and use of language by humans. A well-known example of speech technology, that nearly everyone has personal experience with, is Siri on Apple’s devices. It’s safe to say that customer experiences with these technologies are not completely seamless yet, as Siri usually starts speaking to you at the moment you don’t want her to, or decides to call one of your contacts instead of skipping a song on Spotify. However, if used in the right way, speech technology can assist firms in getting a better understanding of the needs of their customers, improving their customer service channel, and step-by-step creating a more seamless customer experience.

Digital customer service: benefits only?

Most companies have installed an artificial intelligence-based chatbot on their website by now (Weerabahu et al., 2018). However, by implementing speech technology into their customer service channels, in the form of a digital assistant on the phone, firms can assist their customers in the old-fashioned way, but then the improved version of it. As an infinite number of digital assistants is constantly available, customers their waiting times will be drastically decreased. Additionally, they will be able to call the customer service centre at every time they would like, also after opening hours of the firm. These benefits would definitely create a more seamless customer experience. The firm that implements a digital assistant on its phone line will receive benefits as well. By having the digital assistant ask the simple question “What can I help you with?”, firms will gather more information about the needs of their customers, and know where they can improve the information that they provide on their products and services. Additionally, firms will learn about the language that their customers use. This will allow the digital assistant to, eventually, take over repetitive tasks from human customer service employees, and leave providing specialised advice to human customer service employees.

I’m wondering: How do you feel about digital assistants replacing human customer service employees? And do you think that, eventually, all human customer service employees will be replaced?

References

Chowdhury, G.G., 2003. Natural language processing. Annual review of information science and technology37(1), pp.51-89.

Moore, R.K., 2017. Is spoken language all-or-nothing? Implications for future speech-based human-machine interaction. In Dialogues with Social Robots (pp. 281-291). Springer, Singapore.

Weerabahu, D., Gamage, A., Dulakshi, C., Ganegoda, G.U. and Sandanayake, T., 2018, December. Digital Assistant for Supporting Bank Customer Service. In International Conference of the Sri Lanka Association for Artificial Intelligence (pp. 177-186). Springer, Singapore.

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AI in the courtroom: a threat to the justice system, or an opportunity to improve it?

5

October

2021

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The application of artificial intelligence (hereinafter: AI) is rapidly influencing and transforming several fields of our society, such as science, business, and even medicine (Pannu, 2015). As enthusiasts are continuously experimenting with new ways to create value, several opportunities in other industries are yet to be discovered. Speculations arise about AI entering one of the most emotionally sensitive workplaces in our society: the courtroom. Since the legal industry is filled with large amounts of data and huge textual files, there seems to be a lot of opportunity for improvement through AI. However, legal experts seem somewhat reserved: would introducing AI into the courtroom be a threat to the justice system, or an opportunity to improve it?

AI-driven judges …

Our current justice system contains several limitations, for example with reference to jurisdiction, which is the process of a court coming to a judgment in a disputed matter. A seemingly unlimited and growing amount of data, large files, and relevant case law cause this process to be inefficient, time-consuming, and subjective (Elstgeest, 2020). One might think that a possible solution to these problems would be the introduction of AI-driven judges and having them replace human judges. AI-driven judges could provide fast data-driven assessments of disputes, and therefore could be more accurate and objective in their decision-making than human judges (McKay, 2020). However, a large share of organisations and individuals involved in jurisdiction seem to put up a lot of resistance against this idea, as they fear that AI will eventually take over control and don’t trust algorithms to make human, ethically responsible decisions (Elstgeest, 2020). All in all, they believe that AI-driven judges might cause more harm to the right to a fair trial, one of the fundamental principles of our justice system, than they would do good.

… or other applications?

Because of the previously mentioned objections, introducing AI-driven judges might not be the right solution to improve the limitations of the current justice system. However, this does not mean that there is no place at all for AI in the courtroom at this moment. For example, by assisting judges, lawyers, and district attorneys in discovering patterns in data and selecting relevant case law, AI can prove to be a relevant and useful tool in increasing efficiency and speed in the courtroom (Elstgeest, 2020). While exploring AI-related opportunities, clear ethical guidelines should be set out, decision-making should be clear and explainable to human rationale, and AI-tools should be monitored and updated frequently (Elstgeest, 2020). In that case, AI can benefit the right to a fair trial, and therefore improve the justice system as a whole.

References

Elstgeest, M., 2020. AI biedt kansen in de rechtspraak. [online] ibestuur.nl. Available at: <https://ibestuur.nl/podium/ai-biedt-kansen-in-de-rechtspraak> [Accessed 5 October 2021].

McKay, C., 2020. Predicting risk in criminal procedure: actuarial tools, algorithms, AI and judicial decision-making. Current Issues in Criminal Justice, 32(1), pp.22-39.

Pannu, A., 2015. Artificial intelligence and its application in different areas. Artificial Intelligence, 4(10), pp.79-84.

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