Worried about AI in the workplace? You’re not alone

Michele Lerner

American Psychological Association

Originally posted 7 September 23

Here is an excerpt:

“Advances in AI are happening rapidly in the workplace, and many of their effects are uncertain,” says Fred Oswald, PhD, a professor in the department of psychological sciences at Rice University in Houston. “Will AI empower employees and organizations to be more effective? Or consistent with employee worries, will AI replace their jobs? We’re likely to see both. We’ll need more research to inform targeted AI-oriented investments in employee training, career development, mental health, and other interventions.”

We asked Oswald and Leslie Hammer, PhD, emerita professor of psychology at Portland State University and codirector of the Oregon Healthy Workforce Center at the Oregon Health and Science University, to outline ways employers and employees can address the psychological impact of AI in the workplace.

The survey shows 46% of workers worried about AI making some or all of their job duties obsolete intend to look for another job compared with 25% of workers who are not worried about AI. How seriously should employers take workers’ concerns?

Oswald: Both real and perceived job insecurities often motivate employees to look for other jobs. In general, managers should always attempt to maintain healthy communication with their employees, where in this case it would be to understand and address the root cause of AI-related worries. Communication helps overall to ensure the well-being of individual employees and improves the culture and morale of the organization, and this might be more important when AI becomes present in the workplace.

Survey data show worried workers also feel they do not matter in their workplaces, and that they feel micromanaged. Mattering at work is among the five components of a healthy workplace identified by the U.S. Surgeon General. What can employers do to ensure workers feel they matter and to help workers feel more comfortable about AI, given that changes are likely inevitable?

Hammer: It’s very important that workplaces communicate information regarding any changes related to AI clearly and honestly. Fear of the unknown and loss of a sense of control are directly related to psychological distress, occupational stress, and strain, as well as negative physical health outcomes. Providing information about the use of AI and allowing employee input into such changes will significantly alleviate these outcomes.

The info is here. 

Artificial intelligence, superefficiency and the end of work: a humanistic perspective on meaning in life

Knell, S., Rüther, M.

AI Ethics (2023).

https://doi.org/10.1007/s43681-023-00273-w

Abstract

How would it be assessed from an ethical point of view if human wage work were replaced by artificially intelligent systems (AI) in the course of an automation process? An answer to this question has been discussed above all under the aspects of individual well-being and social justice. Although these perspectives are important, in this article, we approach the question from a different perspective: that of leading a meaningful life, as understood in analytical ethics on the basis of the so-called meaning-in-life debate. Our thesis here is that a life without wage work loses specific sources of meaning, but can still be sufficiently meaningful in certain other ways. Our starting point is John Danaher’s claim that ubiquitous automation inevitably leads to an achievement gap. Although we share this diagnosis, we reject his provocative solution according to which game-like virtual realities could be an adequate substitute source of meaning. Subsequently, we outline our own systematic alternative which we regard as a decidedly humanistic perspective. It focuses both on different kinds of social work and on rather passive forms of being related to meaningful contents. Finally, we go into the limits and unresolved points of our argumentation as part of an outlook, but we also try to defend its fundamental persuasiveness against a potential objection.

From Concluding remarks

In this article, we explored the question of how we can find meaning in a post-work world. Our answer relies on a critique of John Danaher’s utopia of games and tries to stick to the humanistic idea, namely to the idea that we do not have to alter our human lifeform in an extensive way and also can keep up our orientation towards common ideals, such as working towards the good, the true and the beautiful.

Our proposal still has some shortcomings, which include the following two that we cannot deal with extensively but at least want to briefly comment on. First, we assumed that certain professional fields, especially in the meaning conferring area of the good, cannot be automated, so that the possibility of mini-jobs in these areas can be considered. This assumption is based on a substantial thesis from the philosophy of mind, namely that AI systems cannot develop consciousness and consequently also no genuine empathy. This assumption needs to be further elaborated, especially in view of some forecasts that even the altruistic and philanthropic professions are not immune to the automation of superefficient systems. Second, we have adopted without further critical discussion the premise of the hybrid standard model of a meaningful life according to which meaning conferring objective value is to be found in the three spheres of the true, the good, and the beautiful. We take this premise to be intuitively appealing, but a further elaboration of our argumentation would have to try to figure out, whether this trias is really exhaustive, and if so, due to which underlying more general principle. Third, the receptive side of finding meaning in the realm of the true and beautiful was emphasized and opposed to the active striving towards meaningful aims. Here, we have to more precisely clarify what axiological status reception has in contrast to active production—whether it is possibly meaning conferring to a comparable extent or whether it is actually just a less meaningful form. This is particularly important to be able to better assess the appeal of our proposal, which depends heavily on the attractiveness of the vita contemplativa.

The article is here.

Robot performs first laparoscopic surgery without human help (and outperformed human doctors)

Johns Hopkins University. (2022, January 26). 

ScienceDaily. Retrieved January 28, 2022

A robot has performed laparoscopic surgery on the soft tissue of a pig without the guiding hand of a human -- a significant step in robotics toward fully automated surgery on humans. Designed by a team of Johns Hopkins University researchers, the Smart Tissue Autonomous Robot (STAR) is described today in Science Robotics.

"Our findings show that we can automate one of the most intricate and delicate tasks in surgery: the reconnection of two ends of an intestine. The STAR performed the procedure in four animals and it produced significantly better results than humans performing the same procedure," said senior author Axel Krieger, an assistant professor of mechanical engineering at Johns Hopkins' Whiting School of Engineering.

The robot excelled at intestinal anastomosis, a procedure that requires a high level of repetitive motion and precision. Connecting two ends of an intestine is arguably the most challenging step in gastrointestinal surgery, requiring a surgeon to suture with high accuracy and consistency. Even the slightest hand tremor or misplaced stitch can result in a leak that could have catastrophic complications for the patient.

Working with collaborators at the Children's National Hospital in Washington, D.C. and Jin Kang, a Johns Hopkins professor of electrical and computer engineering, Krieger helped create the robot, a vision-guided system designed specifically to suture soft tissue. Their current iteration advances a 2016 model that repaired a pig's intestines accurately, but required a large incision to access the intestine and more guidance from humans.

The team equipped the STAR with new features for enhanced autonomy and improved surgical precision, including specialized suturing tools and state-of-the art imaging systems that provide more accurate visualizations of the surgical field.

Soft-tissue surgery is especially hard for robots because of its unpredictability, forcing them to be able to adapt quickly to handle unexpected obstacles, Krieger said. The STAR has a novel control system that can adjust the surgical plan in real time, just as a human surgeon would.

The info is here.

The future of work: freedom, justice and capital in the age of artificial intelligence

F. S. de Sio, T. Almeida & J. van den Hoven

(2021) Critical Review of International Social

 and Political Philosophy

DOI: 10.1080/13698230.2021.2008204

Abstract

Artificial Intelligence (AI) is predicted to have a deep impact on the future of work and employment. The paper outlines a normative framework to understand and protect human freedom and justice in this transition. The proposed framework is based on four main ideas: going beyond the idea of a Basic Income to compensate the losers in the transition towards AI-driven work, towards a Responsible Innovation approach, in which the development of AI technologies is governed by an inclusive and deliberate societal judgment; going beyond a philosophical conceptualisation of social justice only focused on the distribution of ‘primary goods’, towards one focused on the different goals, values, and virtues of various social practices (Walzer’s ‘spheres of justice’) and the different individual capabilities of persons (Sen’s ‘capabilities’); going beyond a classical understanding of capital, towards one explicitly including mental capacities as a source of value for AI-driven activities. In an effort to promote an interdisciplinary approach, the paper combines political and economic theories of freedom, justice and capital with recent approaches in applied ethics of technology, and starts applying its normative framework to some concrete example of AI-based systems: healthcare robotics, ‘citizen science’, social media and platform economy.

From the Conclusion

Whether or not it will create a net job loss (aka technological unemployment), Artificial Intelligence and digital technologies will change the nature of work, and will have a deep impact on people’s work lives. New political action is needed to govern this transition. In this paper we have claimed that also new philosophical concepts are needed, if the transition has to be governed responsibly and in the interest of everybody. The paper has outlined a general normative framework to make sense of- and address the issue of human freedom and justice in the age of AI at work. The framework is based on four ideas. First, in general freedom and justice cannot be achieved by only protecting existing jobs as a goal in itself, inviting persons to find ways for to remain relevant in a new machine-driven word, or offering financial compensation to those who are (permanently) left unemployed, for instance, via a Universal Basic Income. We should rather prevent technological unemployment and the worsening of working condition to happen, as a result of a Responsible Innovation approach to technology, where freedom and justice are built into the technical and institutional structures of the work of the future. Second, more in particular, we have argued, freedom and justice may be best promoted by a politics and an economics of technology informed by the recognition of different virtues and values as constitutive of different activities, following a Walzerian (‘spheres of justice’) approach to technological and institutional design, possibly integrated by a virtue ethics component. 

The article is here.