10.2 AI Literacy and Ethical Authorship

It is likely you will or already have encountered opportunities or mandates to use AI to assist you in your professional communication. How then have you or will you decide what AI to use and how to use it? What parameters will you put in place around your use of AI to ensure you are being ethical and responsible when your job, your relationships, and your personal and your company’s reputations are at stake?

This section introduces a framework for AI literacy, which can empower you to make informed, strategic, ethical, and defensible decisions about when and how to use AI to construct business messages (Cardon et al., 2023a). As you develop your AI literacy, it’s essential to also consider ethical authorship (Lentz, 2024)—a complementary concept that focuses on producing AI-assisted content that is transparent, accurate, audience-centered, and reflective of your values and integrity as a communicator. Together, AI literacy and ethical authorship guide you in using AIWAs effectively and responsibly in your business communication.

In this section, we explore Lentz’s (2024) definition of ethical authorship along with the four key capabilities of AI literacy: application, authenticity, accountability, and agency. These capabilities provide the foundation for using AI ethically and strategically in business communication. As we break down each capability, we will explore reflective questions to guide your interactions with AI tools, helping you ensure that your use of AI aligns with ethical standards and enhances your communication effectiveness.

AI Literacy and Ethical Authorship

Lentz (2024) considered three ethical frameworks (Aristotle’s Virtue Ethics, Kant’s Categorical Imperative, and Mill’s Utilitarian Ethics) to create a definition of ethical authorship specifically for business communicators. In addition, she proposed a series of reflective statements to help guide communicators toward ethical authorship, which we will look at in a moment. She defines ethical authorship in the context of AI-assisted writing as:

The authorship of business discourse in ways that positively reflect an author’s values and that create ethical, clear, complete, transparent, and audience-centered communication. In addition, ethical authorship requires that an author be aware of and mitigate the risks of using AI-generated content, including but not limited to the use of AI hallucinations (false data) and the use of copyrighted material. (p. 597)

This definition fits well with the framework we will use for developing AI literacy for business communication (Cardon et al., 2023a). This framework consists of four capabilities: application, authenticity, accountability, and agency (p.277). Combined, these capabilities make it possible to be an ethical, AI-assisted author (Lentz, 2024) of business communication. In other words, AI-literacy enables ethical authorship.

Let’s examine each capability one by one to understand how they support ethical authorship, along with a series of questions (adapted from Cardon et al., 2023a and Lentz, 2024) that you can ask yourself to guide your actions when interacting with AI to develop business messages.

Application: Professionals need to be familiar with AIWAs’ capabilities and limitations, and how to align them with specific tasks (Cardon et al., 2023a). The widespread use of applications by college students and professionals suggests that these tools are relatively easy to use. However, to maximize their effectiveness, professionals must learn how to refine prompts and adjust them for better results (e.g., modifying tone, style, or level of detail).

The proliferation of AIWAs will outpace any textbook publication so it is impossible to give you an exhaustive explanation of those AIWAs that are available to you. Rather, you will need to listen to and read about what is happening in your industry and explore and experiment with applications. As you do this, consider some guiding questions (Cardon, et al., 2023a, p. 278) to improve your application capabilities:

• Based on their capabilities and limitations, which AIWA should I use?
• What are the best practices for optimizing my use of this AIWA? (e.g., use of commands, prompts, or queries)
• What underlying data set informs the AIWA? What are the strengths and weaknesses of this dataset and how will they affect the AIWA’s output?

Authenticity: Professionals must prioritize genuine, personalized communication when using AIWAs (Cardon et al., 2023a; Cardon et al., 2023b; Coman & Cardon, 2024; Deptual et al., 2024). Despite the growing capabilities of AIWAs, AI-generated messages won’t reflect your unique voice and be tailored to the specific needs of those receiving the messages. AI-mediated communication is seen as less authentic (less sincere and caring) by professionals, though the messages are still seen as professional and achieving their instrumental purpose (Coman & Cardon, 2024; Piller, 2024). This reinforces the need for communicators to consider their relational and identity goals when working with AI–not just their instrumental goals. It may not matter to a receiver if AI generates a summary of product reviews for an online boutique, but it will matter and damage relationships in other scenarios that carry more significance such as crisis communication and delivering bad news (Piller, 2024).

To focus on producing genuine, human-centered communication, consider the following questions (Cardon, et al., 2023a, p. 278; Lentz, 2024, p.604):

• To what degree have I inserted my own voice, personality, and style into the message?
• Does the message meet my identity goals and reflect who I am and want to be as a professional?
• To what degree have I ensured the message focuses on my receiver’s needs and relational goals?
• To what degree have I built trust with my receiver through this message?

Accountability: Professionals must take responsibility for the accuracy and appropriateness of AI-generated or influenced content used in their communication (Cardon et al., 2023a; Cardon et al., 2023b; Getchell et al., 2022; Lentz, 2024). This includes using AIWAs in a fair and equitable manner and developing strong information literacy (the ability to find, evaluate, and use information effectively) (Cardon et al, 2023; Dobrin, 2023). This means making sure the applications are used in a way that treats everyone equally and doesn’t give one group an unfair advantage over others. Additionally, accountable communicators will ensure content doesn’t reinforce biases or discrimination against certain groups of people, and that all content is verifiable. AI mistakes in your writing tend to be judged more harshly than human mistakes, highlighting the importance of maintaining high standards of reliability in AI-mediated communication (Cardon, et al., 2023a).

To keep your accountability in mind, consider the following reflective questions (Cardon, et al., 2023a, p. 278; Lentz, 2024, p.604):

• Have I verified the content of my message as factually correct?
• Is the logic of the message solid and coherent?
• Does the message contain depth? What perspectives may have been left out?
• Do my stakeholders have equal access to the AIWAs I’ve used?
• Is credit and attribution given to the original authors of content in my message when I am quoting, summarizing, or paraphrasing ideas that are not my own?
• Have I respected my organization’s terms for using AI at work?
• Have I checked my communication for bias and corrected the reflection of that bias in my work?
• Have I done all I can to make sure I am not misleading my receivers?

Agency: Retaining control of AI-mediated communication means being the “human-in-the-loop” ensuring AI is used as a tool to enhance your decision-making, not replace it (Cardon et al., 2023a; Dobrin, 2023). You must remain actively involved and be the ultimate decision-maker in the communication process, even when using AI. An AIWA might suggest or draft something, but you are the one who reviews it, edits it, and makes sure it fits your purpose.

To draw your attention to maintaining control and making your own choices when using AIWAs, consider the following questions (Cardon, et al., 2023a, p. 278; Lentz, 2024, p.604):

• Am I retaining or expanding my personal choices through the use of AIWAs?
• Am I enhancing my knowledge, skills, and human potential while using AIWAs?
• Can I make independent human decisions while using AIWAs?
• Have I considered other choices I could make when I am tempted to use AIWAs unethically or in ways that are not allowed in my place of work?
• Have I made the choice to use AIWAs freely or because I am desperate, possibly running out of time or not understanding how to complete a task?