Artificial Empathy: Creepy or Beneficial?

Photo Credit: Pavel Danilyuk, Pexels

 

By Lilian H. Hill

 

Artificial empathy refers to the simulation of human empathy by artificial intelligence systems, allowing them to recognize, understand, and respond to human emotions in a way that appears empathetic. Empathy encompasses various cognitive and emotional abilities that allow us to understand the internal states of others. Consequently, developing artificial empathy represents both a symbolic goal and a significant challenge for artificial systems, especially robots, as they work towards creating a potentially symbiotic society (Asada, 2018).

Artificial empathy has significant implications for the development of social robots, customer service bots, and other AI applications that interact with humans on a personal level. Below are some key aspects, applications, benefits and drawbacks of artificial empathy.

Key Aspects of Artificial Empathy

Emotion Recognition: AI systems use sensors and algorithms to detect human emotions through facial expressions, voice tones, and body language. These data are processed to identify specific emotional states.

Sentiment Analysis: By analyzing text data from conversations, social media, force and speed of keystrokes, or other sources, AI can gauge the sentiment behind the words and understand the emotional context.

Context Awareness: AI systems are designed to understand the context of interactions, considering factors like the user's environment, past interactions, and specific situations to respond appropriately.

Personalization: Artificial empathy involves tailoring responses based on the user's emotional state and preferences, creating a more personalized interaction.

Behavioral Mimicry: AI can be programmed to exhibit empathy behaviors, such as offering comforting words, showing understanding, or providing appropriate responses in emotional situations.

Applications of Artificial Empathy

Healthcare: AI systems with artificial empathy can support patients by providing emotional comfort, recognizing signs of distress, and improving the overall patient experience.

Customer Service: Chatbots and virtual assistants can use artificial empathy to handle customer inquiries more effectively by responding to the customer's emotional state.

Education: AI tutors can provide personalized support, recognizing when a student is frustrated or confused and adjusting their teaching methods accordingly.

Companionship: Social robots with artificial empathy can provide companionship to individuals, particularly the elderly or those with special needs, by engaging in empathetic interactions.

Benefits and Drawbacks

Artificial empathy can significantly enhance interactions between humans and AI systems but also presents challenges and ethical concerns.

Benefits

AI systems that recognize and respond to emotions create more natural and satisfying interactions, improving user satisfaction and engagement. Empathetic AI in customer service can handle queries more effectively, reducing frustration and increasing loyalty by providing more personalized and considerate responses. AI with artificial empathy can offer support in mental health contexts, providing immediate emotional recognition and support and assisting professionals by monitoring patient well-being. For elderly or isolated individuals, empathetic robots and virtual assistants can provide companionship, reducing feelings of loneliness and improving quality of life.  AI with empathy can be used in educational tools and training programs, providing supportive and encouraging feedback to learners and enhancing their motivation and learning outcomes.

Drawbacks

There is a risk that users may feel deceived if they discover that a machine simulated the empathy they experienced, potentially damaging trust in AI systems.  Emotion recognition often requires sensitive data, such as facial expressions and tone. This raises concerns about data privacy and security and the potential misuse of personal information. AI with artificial empathy could manipulate emotions for commercial or political purposes, exploiting users' emotional states to influence their decisions or behaviors. Over-reliance on empathetic AI for emotional support might reduce human-to-human interactions, potentially impacting social skills and relationships. The development and use of artificial empathy raise ethical questions about the boundaries of human-AI interaction, the role of AI in emotional contexts, and the potential for AI to replace human empathy in critical situations. Current AI systems might misinterpret emotions or provide inappropriate responses, leading to frustration or harm rather than support.

Balancing these benefits and drawbacks is crucial for developing and deploying artificial empathy in AI systems.

 

References

Asada, M. (2018). Artificial empathy. In K. Shigemasu, S. Kuwano, T. Sato, & T. Matsuzawa (Eds.), Diversity in Harmony – Insights from Psychology. Wiley. https://doi.org/10.1002/9781119362081.ch2

Galiniostech (2023, November 6). Robots in everyday life: A glimpse into the future. Medium. https://medium.com/@galiniostech/robots-in-everyday-life-a-glimpse-into-the-future-c966640a783d

Wright, J. (2023, January 9). Inside Japan’s long experiment in automating elder care: The country wanted robots to help care for the elderly. What happened? MIT Technology Review. https://www.technologyreview.com/2023/01/09/1065135/japan-automating-eldercare-robots/

Navigating the Complexities and Dynamics of the Information Ecosystem

 

 

By Lilian H. Hill

 

The information ecosystem refers to the complex network of processes, technologies, individuals, and institutions involved in the creation, distribution, consumption, and regulation of information. It encompasses various elements that interact and influence each other, shaping how information is produced, shared, and used in society. The use of the term ecosystem as a metaphor suggests key properties of environments in which information technology is used. An information ecosystem is a complex system of parts and relationships. It exhibits diversity and experiences continual evolution. Various parts of an ecology coevolve, changing together according to the relationships in the system (Nardi & O’Day, 1999).

 

While the term Information Ecosystem has been in use in academic circles for more than 20 years, it has penetrated today’s media. The dynamic and often unpredictable information ecosystem we inhabit necessitates renewed focus on the fundamental concepts of that ecosystem (Kuehn, 2022). The relationship between information literacy and the information ecosystem is symbiotic and integral. Information literacy refers to the set of skills and knowledge that allows individuals to effectively find, evaluate, use, and communicate information. It encompasses critical thinking and problem-solving abilities in relation to information handling. The term information ecosystem describes the complex environment in which information is produced, distributed, consumed, and preserved. This includes libraries, databases, media, social networks, and other channels and platforms where information flows.

 

Burgeoning and rapidly evolving information technologies influence information production and access. While the emphasis should be on the human activities served by information technologies, the truth is that technology is radically changing ways that information is produced, accessed, understood, and applied.

 

Components of the Information Ecosystem

Multiple constituents work together to produce, distribute, interpret, consume, and regulate information.

 

Information Producers

·      Journalists and Media Organizations: Traditional news outlets, digital news platforms, and independent journalists who gather, verify, and disseminate news.

·      Academic and Research Institutions: Universities, research centers, and scholars who produce scholarly articles, studies, and data.

·      Government Agencies: Institutions that generate reports, statistics, and public records.

·      Businesses and Corporations: Companies that create content for marketing, public relations, and corporate communications.

·      Individuals: Citizens who produce content through blogs, social media, and other personal platforms.

 

Information Distributors

·      Social Media Platforms: Facebook, Twitter, Instagram, LinkedIn, and others that facilitate the rapid spread of information.

·      Search Engines: Google, Bing, and others that organize and provide access to information.

·      Traditional Media: Newspapers, television, radio, and magazines distributing news and entertainment content.

·      Online Platforms: Websites, forums, and blogs that host and share various forms of content.

 

Information Consumers

·      General Public: Individuals who consume news, entertainment, educational content, and other forms of information.

·      Professionals: Individuals in specific fields who create and rely on specialized information.

·      Organizations: Businesses, nonprofits, and governmental bodies that use information for decision-making and strategy.

 

Regulatory Bodies

·      Government Regulators: Agencies that enforce laws and regulations related to media, information privacy, and intellectual property.

·      Industry Groups: Organizations that set standards and guidelines for information dissemination and ethical practices.

 

Dynamics of the Information Ecosystem

Engaging within the information ecosystem requires participating in interrelated activities. Information is generated through research, reporting, personal expression, and other methods. Verification processes, such as fact-checking and peer review, are crucial to ensure accuracy and credibility. Information is distributed through various channels, from traditional media to digital platforms. Access to information is influenced by factors such as digital divide, censorship, and platform algorithms. Individuals consume information based on personal preferences, biases, and social influences. Interpretation of information can vary widely, affecting public opinion and behavior. Consumers provide feedback through comments, shares, likes, and other forms of engagement. This interaction can influence future content production and distribution strategies. Finally, regulatory bodies and ethical standards shape the practices of information producers and distributors. Unfortunately, technological innovations occur more rapidly than regulation and ethical standards. Issues such as misinformation, data privacy, and intellectual property rights are key considerations.

 

Challenges in the Information Ecosystem

With technological advances, numerous challenges exist, including the rapid spread of mis-and dis-information, information overload, echo chambers, inequities, and increased privacy concerns. The spread of false or misleading information can have significant societal impacts, from influencing elections to public health crises. The vast amount of information can overwhelm consumers, making it difficult to discern credible sources.  Algorithms and personalized content can create echo chambers where individuals are exposed only to information that reinforces their existing beliefs. Inequities in access to technology and information resources can exacerbate social and economic disparities. The collection and use of personal data by information platforms raises significant privacy issues.

 

Artificial Intelligence and the Information Ecosystem

AI systems are reshaping the information ecosystem. Information systems play a crucial role in everyday life by influencing and reorganizing people’s thoughts, actions, social interactions, and identities. Hirvonen et al. (2023) argued that the “affordances of AI systems integrated into search engines, social media platforms, streaming services, and media generation, shape such practices in ways that may, paradoxically, result both in the increase and reduction of diversity of and access to information” (p. 1).

 

Fleming (2023) indicated that AI tools can create distorted histories and fake profiles, presenting them persuasively as facts. The stakes are escalating daily as rapid advancements in generative AI pose the risk of escalating online hate speech and misinformation to unprecedented levels. These voices are not new, but the global reach of social media allows lies and conspiracy theories to spread instantly worldwide, affecting millions, undermining trust in science, and fostering hatred potent enough to incite violence. Pernice (2019) indicates that the questions of how to (1) effectively safeguard the deliberative process of building political will and (2) preserve the legitimacy of the democratic process against various IT-driven manipulation attempts remains unresolved. 

 

Importance of a Healthy Information Ecosystem

Peterson-Salahuddin (2023) commented that concerns within information ecosystems include (1) ways information production, particularly in mainstream journalism, can lead to information inequity in its representations and (2) the dissemination and retrieval of this journalistic information via algorithmically mediated online systems, such as social media and search platforms, can replicate and reinforce information inequity within the broader information ecosystem. A healthy information ecosystem is essential for informed citizenship, effective governance, and social cohesion. It promotes:

 

1.    Informed Decision-Making: Accurate and reliable information enables individuals and organizations to make informed decisions.

 

2.    Democratic Participation: Access to diverse and credible information supports democratic processes and civic engagement.

 

3.    Social Trust: A trustworthy information ecosystem fosters social trust and cooperation.

 

4.    Innovation and Progress: Access to knowledge and information drives innovation, education, and cultural development.

 

In a prophetic comment, Nardi and O’Day (1999) indicated that the ecological metaphor conveys a “sense of urgency about the need to take control of our information ecologies, to inject our own values and needs into them so that we are not overwhelmed by some of our technological tools” (p. 49). Maintaining a healthy information ecosystem requires efforts from all stakeholders, including information producers, distributors, consumers, and regulators, to uphold standards of accuracy, fairness, and transparency.

 

References

Fleming, M. (2023, June 13). Healing Our Troubled Information Ecosystem. Medium. https://melissa-fleming.medium.com/healing-our-troubled-information-ecosystem-cf2e9e8a4bed

Hirvonen, N., Jylhä, V., Lao, Y., & Larsson, S. (2023). Artificial intelligence in the information ecosystem: Affordances for everyday information seeking. Journal of the Association of Information Science Technology, 74(12), 1–14.

Kuehn, E. F. (2022). The information ecosystem concept in information literacy: A theoretical approach and definition. Journal of the Association of Information Science Technology, 74(4), 434-443. https://doi.org/10.1002/asi.24733

Nardi, B. A., & O’Day, V. L. (1999). Information ecologies: Using technology with heart. MIT Press.

Pernice, I. (2019, March 5). Protecting the global digital information ecosystem:  A practical initiative. Internet Policy Review. https://policyreview.info/articles/news/protecting-global-digital-information-ecosystem-practical-initiative/1386

Peterson-Salahuddin, C. (2024). From information access to production: New perspectives on addressing information inequity in our digital information ecosystem. Journal of the Association for Information Science & Technology, 1. https://doi-org /10.1002/asi.24879 

 

How Artificial Intelligence Influences Voters and Election Results

 

Image Credit: Edmond Dantès, Pexels

Artificial Intelligence (AI) tools can directly influence voters through the widespread adoption of chatbots integrated into search engines. In this podcast episode, Dr. Lilian Hill discusses how AI influences voters and election results. 

 

References

Noti, A. (2024. February 28). How Artificial Intelligence Influences Elections, and What We Can Do About It. Campaign Legal Center. https://campaignlegal.org/update/how-artificial-intelligence-influences-elections-and-what-we-can-do-about-it

Panditharatne, M. & Giansiracusa, N. (2023, Juy 21). How AI Puts Elections at Risk — And the Needed Safeguards. Brennan Center for Justice. https://www.brennancenter.org/our-work/analysis-opinion/how-ai-puts-elections-risk-and-needed-

 

 

Listen to the Podcast

 

Information Literacy Episode 23 Transcripts

 

 

Digital and Workplace Literacies are Interrelated Skills

Image Credit: Getty Images

 

Employers require employees to have vital digital and workplace literacy skills, and they expect new employees to have developed these skills before being hired. Beyond basic computer skills, digital literacy encompasses using digital tools and technologies effectively. Christian (2022) indicates that it “means being able to work adaptably and strategically across tools, devices, and platforms” (para. 1). Individuals who lack these skills are in danger of being left behind.

 

This blog post (a) provides definitions of digital and workplace literacies, (b) explains how digitalization has permeated employment settings and activities, and (c) then describes how digital and workplace literacies are interrelated.  

 

Digital literacy means having the skills you need to live, learn, and work in a society where communication and access to information is increasingly mediated through digital technologies like internet platforms, social media, and mobile devices. Digital literacy involves a “spectrum of skills that run from operational (device use) to navigational (understanding structures) to informational (searching and interpreting) to strategic (meeting personally meaningful objectives)” (Oliver & Williams-Duncan, 2019, p. 123). Given the pervasiveness of digital tools in daily life, digital literacy has become a vital skill for seeking and maintaining employment.

 

Workplace literacy can be defined as skills employees need to be competent in work.

Given the twin industrial revolutions of digitalization and artificial intelligence, workplace literacy inextricably involves the skills needed to use digital tools efficiently to perform tasks, communicate effectively, and collaborate with colleagues. It also means that employees must be adaptable and willing to learn new skills. Digital and workplace literacies are closely intertwined in today's digital age, where technology permeates almost every aspect of work environments. Understanding their relationship helps individuals and organizations navigate the demands of modern workplaces effectively.

 

Digitalization and Artificial Intelligence in the Workplace

We are amid what has been called a fourth industrial revolution, referring to the digitalization of the workplace and the proliferation of artificial intelligence tools (Briggs et al., 2023). Digitization and digitalization may seem like interchangeable terms; however, digitization focuses on converting information into data, while digitalization is about developing processes and changing workflows to improve manual systems (Monton, 2022). Muro et al. (2017) state that “Digitalization is the process of employing digital technologies and information to transform business operations” (p. 5), a conversion so thorough that it continuously reorients work and daily life.  Muro et al. indicate that over the past 50 years, digital technologies are pervasive in most businesses and workplaces.

 

Digitalization is changing the skills needed to access economic opportunity. It has permeated most industries. For example, healthcare workers at all levels, from janitorial services to highly skilled surgeons to upper management, use digital technologies. Auto mechanics use laptops to diagnose car problems, and salespeople use cloud-based artificial intelligence applications to schedule meetings. These are only a few examples of how the workplace has changed.  Knowing how to use these digital and artificial intelligence tools has become a workforce requirement.

 

Employees and business owners must use multiple digital tools such as email, word processors, spreadsheets, project management software, and specialized industry-specific applications. Klassen (2019) reports that workers report the need to use multiple digital tools simultaneously and are often assigned multiple computer monitors so that they can organize digital tools to suit their needs. Employees report experiencing anxiety and information overload. Employees with lower literacy need help with non-linear reading tasks and may find the volume of information overwhelming.

Image credit: Tranmautritan, Pexels

Digital and Workplace Literacies

The influence of digitalization on work in our society has led to emergence of digital jobs. Therefore, digital and workplace literacies are interrelated. Seven skill categories for the digital workplace are suggested below.

 

1.     Information Management

Digital literacy includes skills related to finding, evaluating, and managing information online. In the workplace, employees need to be able to navigate through vast amounts of digital information to find relevant data for their tasks, projects, or decision-making processes. Workplace literacy involves understanding how to assess the credibility of online sources, manage digital files, and organize information effectively to enhance productivity and decision-making (Law et al., 2017; Vuorikari Rina, 2022).

 

2.     Communication and Collaboration

Digital literacy is essential for effective communication and collaboration in the workplace. This includes using email, instant messaging, video conferencing, and other digital communication tools to interact with colleagues, clients, and stakeholders. Workplace literacy extends beyond basic communication skills to encompass understanding digital etiquette, managing online meetings, and leveraging collaborative teamwork and knowledge-sharing platforms (Law et al., 2017; Vuorikari Rina, 2022).

 

3.     Problem-Solving

Digital literacy fosters problem-solving skills and adaptability in the workplace. Employees need to be able to troubleshoot technical issues, learn new digital tools and technologies quickly, and adapt to changing digital environments. Workplace literacy involves developing critical thinking skills to analyze problems, identify solutions, and leverage digital resources effectively to achieve organizational goals (Law et al., 2017; Vuorikari Rina, 2022).

 

4.     Data-Informed Decision Making

In today's data-driven workplaces, digital literacy includes understanding basic data concepts, interpreting data visualizations, and making data-informed decisions. Workplace literacy involves applying data analysis skills to extract insights from large datasets, create reports and presentations, and communicate findings to relevant stakeholders (Law et al., 2017; Vuorikari Rina, 2022).

 

5.     Cybersecurity and Privacy Management

Digital literacy encompasses knowledge of cybersecurity best practices and understanding privacy issues related to digital technologies. In the workplace, employees must be aware of cybersecurity threats such as phishing attacks, malware, and data breaches, and understand how to protect sensitive information and adhere to privacy regulations (Law et al., 2017; Vuorikari Rina, 2022).

 

6.     Artificial Intelligence Usage

AI technologies are becoming pervasive in many digital tools and platforms that individuals interact with daily. Understanding AI is thus becoming a crucial component of digital literacy. Users must comprehend how AI works, its capabilities, limitations, and ethical considerations to make informed decisions about its use.

 

7.    Lifelong Learning and Professional Development

Digital and workplace literacies are not static skills but require continuous learning and professional development. Employees must stay updated with evolving digital trends, acquire new digital skills, and adapt to emerging technologies to remain competitive (Law et al., 2017).

 

In summary, digital and workplace literacies are deeply intertwined, with digital skills playing a crucial role in enhancing productivity, communication, problem-solving, and adaptability in modern work environments. Organizations can foster a culture of continuous learning and provide training and development opportunities to empower employees with the digital and workplace literacy skills needed to succeed in today's digital economy.

 

References

Briggs, X. D., Johnson, C. C., & Katz, B. (2023, October 13). There’s an industrial revolution underway. Unless we act, it will make the racial wealth gap even worse. Metropolitan Policy Program at Brookings. Retrieved https://www.brookings.edu/articles/theres-an-industrial-revolution-underway-unless-we-act-it-will-make-the-racial-wealth-gap-even-worse/

Christian, A. (2022, September 26). Why ‘digital literacy’ is now a workplace non-negotiable. BBC. Retrieved https://www.bbc.com/worklife/article/20220923-why-digital-literacy-is-now-a-workplace-non-negotiable

Klassen, A. (2019). Deconstructing paper-lined cubicles: Digital literacy and information technology resources in the workplace. International Journal of Advanced Corporate Learning, 12(3), 5–13. https://doi-org.lynx.lib.usm.edu/10.3991/ijac.v12i3.11170

Law, N. W. Y., Woo, D. J., de la Torre, J., & Wong, K. W. G. (2018). A global framework of reference on digital literacy skills for indicator 4.4. 2.

Monton, A. (2022, March 2022). Difference and similarities: Digitization, digitalization, and digital transformation. Retrieved https://www.globalsign.com/en-sg/blog/difference-and-similarities-digitization-digitalization-and-digital-transformation#:~:text=While%20digitization%20focuses%20on%20converting,generate%20insights%20from%20their%20behaviour.

Muro, M., Liu, S., Whiton, J., & Kulkarni (2017, November). Digitalization and the American workforce. Metropolitan Policy Program at Brookings. Retrieved https://www.brookings.edu/wp-content/uploads/2017/11/mpp_2017nov15_digitalization_full_report.pdf

Oliver, K. M., & Williams-Duncan, S. (2019). Faith leaders developing digital literacies: Demands and resources across career stages according to theological educators. Journal of Media Literacy Education, 11(2), 122–145. https://doi-org/10.23860/JMLE-2019-11-2-7

Vuorikari Rina, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens-With new examples of knowledge, skills and attitudes (No. JRC128415). Joint Research Centre (Seville site).