ai speech writing

ai speech writing

The Role of Artificial Intelligence in Speech Writing

1. Introduction to Artificial Intelligence and Speech Writing

AI has been in development since the 1950s. It began with the creation of digital calculators and early computers, where early software was implemented to input numerical and simple logical problems. As technology developed and computers became known for their ability to perform complex data analysis, scientists began to pursue the powerful combination of biological thinking and machine autonomy. The impact of AI in modern-day speech writing is immeasurable; it provides the ability for anyone utilizing an AI-based software platform to produce human-like, authentic, and tailored speeches. The psychological advantage for the end user is that they are able to produce a speech in no time with the help of algorithms and coding to produce effective and communicative content. This content can also be produced in real time and tailored to meet the capacity of speech length required.

Artificial intelligence (AI) refers to the development of human-like intelligence in machines that are programmed to identify complex patterns and act on findings accordingly. It is also commonly referred to as machine learning. Speech writing, on the other hand, involves the composition of oration to be transmitted orally, rather than in writing. The practice of speech writing has developed over the years to include modern technological advances, such as presenting a speech through a teleprompter, while also maintaining its traditional practices, such as employing the services of a human to construct the speech content.

2. Applications of AI in Speech Writing

In their 2014 paper, “Why We Love or Hate Interruptions When Performing Creative Tasks,” authors from the University of Southern California discuss their new AI and NLP software to aid writers in finding optimal places to pause. Simply put, big companies and media organizations already utilize AI and NLP technology to edit out ‘uhms’ from CEO speeches, etc. These are the more production-focused AI NLP speech platforms, as opposed to the influencer and productivity system mentioned in the study. These production AI and NLP alignment software applications have tested 10-20% speech effectiveness improvements in independent A/B case studies. So while there are not public tools to purchase at will, the evidence is clear that AI is currently being used to give impeccable speeches context and a more compelling, engaging quality.

– AI can collect data on the preferences and characteristics of a particular audience base. – Neural Natural Language Processing (NLP) software can create arguments that are likely to specifically appeal to the intended audience base. – Use of NLP can align the right tone, phrasing, and word choice, which can possibly make a difference in a speech. – Software that utilizes NLP algorithms from a variety of comparative written work (or presentations if available) can help to ensure that speech content is new, innovative, and compelling. – NLP-type automation can help to improve grammar and make the speech flow better overall. – AI can also predict the likelihood that a certain audience will accept a particular position, or even potentially change their perspective.

Several practical uses of AI technology exist when it comes to the important job of speech writing. From gathering research to adding personalized touches, artificial intelligence can undoubtedly streamline the speech writing process. Here are some practical AI applications for the speech writing process:

3. Challenges and Ethical Considerations

In structuring our research, we adhered to the fundamental principles of ‘white hat’ computing research, which seek to use computing systems and networks in ethical manners and with constructive purposes in mind. In conducting our own research, we sought to adhere to a set of ethical considerations. We were particularly attentive to the neo-Aristotelian understanding of speech and creativity, seeking to bring to the fore a concern with integrity in pursuits of the good polis or community where citizens are deliberative practitioners. That final point should be read with some caution. While respect for the dignity and intelligence of the voting public calls for authenticity and integrity in speeches, this is not an argument to claim that AI-written speeches – as such – per se devalue society or lower standards. It seems likely that many of the canons of rhetoric can be met with every bit as much authenticity, sincerity and integrity by a human typing on a Dell or Apple computer, by word-processed, mediated, AI-augmented or AI-altered text. In trying to emphasize the significance of the major ethical issues concerned with veracity, authenticity, and integrity, we wish to underscore the ethical responsibility of a human speechwriter. A speech-writer who relies on AI for most of a speech has the responsibility to verify. Moreover, some of the audience-constitutive values, traditional and contemporary, of veracity, authenticity, and integrity might be elevated and brought to the fore and rendered more genially salient in the speech than it otherwise might have been.

Several complex challenges present themselves when considering the potential use of AI services in the process of crafting speeches. The development of artificial intelligence is a human undertaking fraught with the potential for the ‘dehumanization’ of the world. These systems, including the GPT-3 model used in our study, can reproduce human idiosyncrasies and personalities with surprising verisimilitude. If they are allowed to become authors of texts attributed to specific human speakers or if audiences come to assume their software authorship of speeches, the level of trust that audiences place in speakers and documents may diminish. Recently, there have been revelations of bias in the data that inform these systems, as well as biases emerging in the data reproduced by the machine. It is at best unclear how these biases might affect the quality or persuasiveness of the speech. Worse, a truly troubling potential issue emerges: these services might simply reproduce the human failings from which training data were drawn and the styles of address that will bring a combination of popularity, joy or self-righteous satisfaction to the audience.

4. Future Trends and Implications

Expert speechwriters are in media and politics, but with the coming of new platforms, a new job designation will be collaborative as well. With the incredible rise in podcasts in the US, the demand for speeches can come not just from influencers, but from connectors like hosts and their guests who are reliant on guests for sparking new connections and interest. AI speech and scriptwriting can be expert-based not just in politics, but in business, entertainment, and academia as well. Expert speechwriters who work with AI may be individuals and, over time, integrated with companies or business entities. The impact must be measured by listeners and their response, what the speech helps to make happen and not just by the brilliance of the occasional phrase.

Given the multifaceted nature of content, experts foresee that AI-drafted speeches will be increasingly interesting and engaging. Future AI technologies will understand issues in depth and will be able to perform rhetorical functions such as praise, encouragement, or persuasion even on highly complex topics. Future technology can potentially address deeper societal problems like wine consumption, meat consumption, and global warming already in speeches. Tools for speech enhancement have been developed that are capable of improving the charismatic expression (in the voice of the speaker) in the delivery of speeches and presentations.