Technology ethics is important

Technology ethics is important because it helps us address the ethical questions and principles related to the adoption, use and even the development of new technologies and associated products and services.

Technology ethics can help us prevent or mitigate the potential negative impacts of technological products and services, created through technology vulnerabilities, or design flaws, such as loss of control, privacy, and security, that may create chaos or dystopia. Collectivist technology ethics can also help us ensure that technology is fair, healthy, and respectful of the rights and dignity of users, employees, customers, and society at large. Virtue ethics can also help us humanize technology and make it more aligned with our values and goals. Technologies such as artificial intelligence enable us to leverage our capabilities and act at scale. This creates new possibilities, but also new challenges and responsibilities where ethical frameworks can help. Technology ethics can help us earn and maintain trust in technology and its applications. To learn how to apply ethical frameworks and principles to your technology work and decision-making, check out this new book: Ethics, Law and Technology: Navigating Technology Adoption Challenges.

What are Technology Ethics?

Technology ethics is the application of ethical thinking to the practical concerns of technology, especially the adoption of new technology. As new technologies give you more power to act, you have to make choices you didn’t have to make before and are confronted by new situations you have not encountered before. Technology ethics can address issues such as how technology is used, how it affects human beings and society, and what moral values should guide its design and development. Some examples of technology ethics issues are:

  • How should we protect the privacy and security of personal data in the digital age?
  • How should we regulate the use of artificial intelligence, biotechnology, and other emerging technologies that may have profound impacts on human life and society?
  • How should we ensure that technology is accessible,and fair for all people, especially those who are marginalized or disadvantaged?
  • How should we balance the benefits and risks of technology, especially when it comes to environmental, social, and existential challenges?
  • How should we foster a culture of responsibility, accountability, and transparency among technology developers, users, and policymakers?

Technology ethics is not only a matter of applying existing ethical principles to new situations, but also accommodating the complexity and diversity of technological innovation.  Interdisciplinary collaboration, public engagement, and critical reflection are keystone elements of technology ethics. Technology ethics also challenges us to rethink our own values, assumptions, and perspectives in light of the changing world.

Image Credit: Adobe Stock Ethics and the Law

Ethics and the Law

Technologies themselves are inanimate things. The ethical dimension arises from human interactions. Adopting new technologies may have circumstances where the consequences may be difficult to anticipate.

Actionable steps

Are you a technical, business, or legal professional who works with technology adoption? Do you want to learn how to apply ethical frameworks and principles to your technology work and decision-making? Understand the legal implications and challenges of new technologies and old laws? Navigate the complex and dynamic environment of technology innovation and regulation? If so, you need to check out this new book: Ethics, Law and Technology: Navigating Technology Adoption Challenges. This book is a practical guide for professionals who want to learn from an expert and stay updated in this fast-changing and exciting field.

Market Research on Technology Adoption

Technology Commercialization

The adoption of new technologies impacts existing markets and may create new market effecting a form of social transformation. Market research firms have developed a number of diverse perspectives focused on the perceived commercial importance associated  with the plethora of new technologies vying for attention in the marketplace.  These Market Research on Technology Adoption perspectives position the relative commercial relevance/ maturity  of multiple technologies to the market of interest.   Examples of market research perspectives on technology adoption include:

  • Gartner Hype Cycle: The curve has an S-shape similar to the S-curve and the logistic curve, but it focuses on the expectations and perceptions of the technology rather than the actual adoption level or market size. The curve can be divided into five phases: innovation trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity.
    The innovation trigger is when a potential technology breakthrough or innovation sparks media interest and public curiosity. Often no usable products exist and commercial viability is unproven.
    The peak of inflated expectations is when early publicity produces a number of success stories and failures. Some companies take action while others do not. The expectations of the technology are often unrealistic and exaggerated.
    The trough of disillusionment is when interest wanes as experiments and implementations fail to deliver. Producers of the technology shake out or fail. Investments continue only if the surviving providers improve their products to the satisfaction of early adopters.
    The slope of enlightenment is when more instances of how the technology can benefit the enterprise start to crystallize and become more widely understood. Second- and third-generation products appear from technology providers. More enterprises fund pilots while conservative companies remain cautious.
    The plateau of productivity is when mainstream adoption starts to take off. Criteria for assessing provider viability are more clearly defined. The technology’s broad market applicability and relevance are clearly paying off.
  • Forrester Wave:  The Wave plots the providers on two axes: current offering and strategy. Current offering measures how well each provider delivers value to customers today, based on a set of criteria such as functionality, usability, performance, etc. Strategy measures how well each provider positions itself for future success, based on a set of criteria such as vision, roadmap, innovation, etc. The Wave also divides the providers into four categories: leaders, strong performers, contenders, and challengers.
    • Leaders are those who offer a comprehensive and consistent current offering and have a clear vision of market direction.
    • Strong performers are those who offer a high-quality current offering but may lack strategic clarity or direction.
    • Contenders are those who have a viable strategy but may lack product depth or breadth.
    • Challengers are those who have a strong current offering but may not be aggressive or innovative enough in their strategy.
  • IDC Marketscape: This plots the technology providers on two axes: capabilities and strategies. Capabilities measure how well each provider delivers value to customers today, based on a set of criteria such as functionality, usability, performance, etc. Strategies measure how well each provider positions itself for future success, based on a set of criteria such as vision, roadmap, innovation, etc. The MarketScape also divides the providers into four categories:
    • Leaders are those who perform exceedingly well in both capabilities and strategies.
    • Major players are those who perform very well in one dimension but still above average in the other dimension.
    • Contenders are those who perform above average in one dimension but below average in the other dimension.
    • Participants are those who perform below average in both dimensions.
  • Thoughtworks Technology Radar:  The Radar plots various technologies and trends on four concentric circles: adopt, trial, assess, and hold.
    • Adopt means that the technology or trend is proven and mature enough to be used with confidence in most situations.
    • Trial means that the technology or trend is worth pursuing and experimenting with in projects that can handle some risk.
    • Assess means that the technology or trend is promising but not yet ready for widespread use. It requires further exploration and understanding before adoption.
    • Hold means that the technology or trend is not recommended for use at this time. It may be too immature, too risky, or too obsolete for most situations.

These Market Research on Technology Adoption perspectives provide macroscopic views of the market and as such show aggregate trends. They can be helpful in identifying new technologies for further study. They do not provide a microscopic view on individual processes associated with the adoption of new technology. This view can help identify the scale of adoption of new technology, but as the focus is on market penetration, it does not provide insight into individual or aggregate ethical considerations associated with the use of the new technology.

Are you a technical, business or legal professional who works with technology adoption? Do you want to learn how to apply ethical frameworks and principles to your technology work and decision-making, understand the legal implications and challenges of new technologies and old laws, and navigate the complex and dynamic environment of technology innovation and regulation? If so, you need to check out this new book: Ethics, Law and Technology: Navigating Technology Adoption Challenges. This book is a practical guide for professionals who want to learn from the experts and stay updated in this fast-changing and exciting field.

DAOs vs. PBCs for Public Administration and Social Policy Entities

Blockchains as organizations

The law in most countries has long recognized entities other than individual humans a matter of social policy. Various types of groups or organization have arguably had some degree of legal recognition in English law back to the time of the Domesday book. Entities recognized by the law are subject to the benefits of legal enforcement of applicable rights (e.g., property ownership rights) and burdens (e.g., taxation). The legal personality of a corporation is neither more nor less real than that of an individual human being. Legal identities are thus a fundamental characteristic of modern society.  Corporations are traditional, non-human legal entities. In neoclassical microeconomics, a corporation exists and makes decisions to make profits. In this sense they exist to minimize the costs of coordinating economic activity. Public benefit corporations have recently emerged as a new type of corporation. Technology advancements have also created robots and Decentralized Autonomous Organizations (DAOs) that are also gaining legal recognition.

Image Credit: Adobe StockDAO

Decentralized Autonomous Organization (DAO)

Corporate social responsibility is usually defined in terms of corporate actions that appear to serve some social purpose beyond the interests of the corporation and legal requirements.  Traditional corporations approach pressures for corporate social responsibility with varying degrees of conviction. The benefits and challenges of the cyber approaches for corporate entities are developed and positioned within broader digital transformation trends impacting public and private sectors and accelerated by the recent pandemic. Government-imposed mobility restrictions in response to pandemic warnings forced many individuals and organizations to aggressively explore ways to work online effectively.

DAOs provide an automated and decentralized approach to corporate governance that ostensibly provides transparency while eliminating the typical corporation’s agency costs from the board of directors. Early implementations of DAOs to automate organizational governance and decision making were intended to support individuals working collaboratively outside the traditional corporate form. Unincorporated blockchain organizations, however, have a legal problem – the default legal treatment considers them a form of partnership. Partnerships have the legal consequence of joint and several liability in the event of torts by one of the partners which could result in unexpected liabilities for blockchain participants. DAOs are implemented as software (smart contracts – code) executing on blockchains. To the extent that regulatory requirements can be reduced to code, there exists a potential for automating those regulations. As a technology, DAOs are relatively recent software innovations, with initial code becoming available around 2016. Several cybersecurity vulnerabilities identifying DAOs have already been publicly disclosed.

Transparency is a virtue in public administration and in the implementation of social policy. With DAOs operating on blockchains, transparency is achievable through consensus records on a public blockchain. Public administration does not require the creation of bloated bureaucracies. Both explicit delegation and private sector equivalents can provide effective alternatives, even in traditional government sectors. Judicial systems, for example, are a traditional feature of the public administration of justice; but are often considered slow and expensive. Private arbitration mechanisms (including blockchain mechanisms) have emerged that provide cost-effective dispute resolution for many commercial disputes. The board of directors of the B-Corp, at a time of their choice, can choose to selectively emphasize specific social policy objectives. With a DAO, the social policy is implemented as code, i.e., a smart contract. In contrast to other e-government approaches not based on legal entities, both B-Corps and DAOs provide the advantage of an entity focused on a specific purpose. DAOs arguably provide a more automated and transparent solution than B-Corps.

For further Information refer to Wright, S. A. (2022). DAOs vs. PBCs for Public Administration and Social Policy Entities. Handbook of Research on Cyber Approaches to Public Administration and Social Policy, 55-73.

Ethical Implications of Technology Vulnerabilities

Ethics in Action

All technologies have vulnerabilities that lead can lead to unexpected behavior. This unexpected behavior could have physical, informational, ethical and potentially legal consequences for human and organizational stakeholders associated with the technology. Ethics is relevant to the adoption of new technology at the individual, organizational and societal levels because it helps us evaluate the impacts and implications of technology on human values and interests.  Ethics provides a guide for human behavior in unfamiliar situations. New technology behaving normally can already generate unfamiliar situations for many people. This situation is compounded when the technology behaves in unexpected ways due to some vulnerability.

Image credit : Adobe Stock Ethical Implications of Technology Vulnerabilities

Ethical Implications of Technology Vulnerabilities

Examples of Ethical Implications of Technology Vulnerabilities

  • Artificial Intelligence (AI): AI has the potential to revolutionize many aspects of our lives, but it also raises ethical concerns. For example, there is a risk that AI systems could be used to discriminate against certain groups of people or to make decisions that are not in the best interests of society.
  • Social Media: Social media platforms have been criticized for their role in spreading misinformation and hate speech. This can have serious consequences for democracy and social stability.
  • Autonomous Vehicles: As autonomous vehicles become more common, there is a risk that they could be used to harm individuals or society as a whole. For example, there is a risk that autonomous vehicles could be hacked and used as weapons.
  • Biometric Identification: Biometric identification technologies such as facial recognition raise concerns about privacy and surveillance. There is also a risk that these technologies could be used to discriminate against certain groups of people.
  • Cybersecurity: As more aspects of our lives become connected to the internet, there is a growing risk of cyber attacks. This can have serious consequences for individuals and society as a whole.

Examples of Ethical Issues from Technological Vulnerabilities

  • Misuse of Personal Information: With the increasing amount of data that is being collected by companies and governments, there is a risk that this information could be misused or stolen. This could lead to identity theft, financial fraud, or other forms of harm.
  • Misinformation and Deep Fakes: Advances in technology have made it easier to create fake news stories, videos, and images that can be used to manipulate public opinion. This can have serious consequences for democracy and social stability.
  • Lack of Oversight and Acceptance of Responsibility: As technology becomes more complex, it can be difficult to identify who is responsible for ensuring that it is used ethically. This can lead to a lack of oversight and accountability, which can result in harm to individuals or society as a whole.
  • Use of AI: Artificial intelligence (AI) has the potential to revolutionize many aspects of our lives, but it also raises ethical concerns. For example, there is a risk that AI systems could be used to discriminate against certain groups of people or to make decisions that are not in the best interests of society.
  • Autonomous Technology: As technology becomes more autonomous, there is a risk that it could be used to harm individuals or society as a whole. For example, autonomous weapons could be used to carry out attacks without human intervention, which raises serious ethical concerns. Autonomous Organizations could become competitors in commerce.

Are you a technical, business or legal professional who works with technology adoption? Do you want to learn how to apply ethical frameworks and principles to your technology work and decision-making, understand the legal implications and challenges of new technologies and old laws, and navigate the complex and dynamic environment of technology innovation and regulation? If so, you need to check out this new book: Ethics, Law and Technology: Navigating Technology Adoption Challenges. This book is a practical guide for professionals who want to learn from the experts and stay updated in this fast-changing and exciting field.

open source software ethics

ethics in action

The open source software stakeholders include developers, users, companies that use open source software, and the broader community of people who are interested in open source software. Developers are the people who create and maintain open source software projects. Users are the people who use open source software for their own purposes. Companies that use open source software may contribute to open source projects or use open source software to develop their own products. The broader community of people who are interested in open source software includes academics, researchers, and other individuals who are interested in the development and use of open source software. Each of these stakeholder groups has different interests and motivations when it comes to open source software. Developers may be motivated by a desire to create high-quality software that is freely available to everyone. Users may be motivated by a desire to use high-quality software that is freely available. Companies that use open source software may be motivated by a desire to reduce costs or improve their products. The broader community of people who are interested in open source software may be motivated by a desire to promote collaboration and innovation.

image credit: Adobe Stockopen source software ethics

open source software ethics

Ethical frameworks provide a useful guide for appropriate behavior when encountering unfamiliar situations.  It wasn’t until the 1980s and 1990s that the concept of free and open source software began to take shape. In 1983, Richard Stallman founded the Free Software Foundation (FSF) with the goal of promoting the use of free software. In 1991, Linus Torvalds released the first version of Linux, an open source operating system that has since become one of the most widely used operating systems in the world. The term “open source” was first coined in 1998 by a group of developers who wanted to create a more business-friendly alternative to the term “free software”. The Open Source Initiative (OSI) was founded in the same year with the goal of promoting open source software and providing a framework for its development. Since then, open source software has become increasingly popular and has been used to develop a wide range of applications and technologies. Today, many companies and organizations use open source software as part of their operations, and many developers contribute to open source projects as a way to gain experience and build their portfolios.

Open Source Software Ethics from a Developer Perspective

Developers face a number of ethical issues including:

  • Privacy and security: Developers must ensure that their software is secure and that it protects users’ privacy.
  • Intellectual property: Developers must respect the intellectual property rights of others and ensure that their software does not infringe on those rights.
  • Accessibility: Developers must ensure that their software is accessible to all users, including those with disabilities.
  • Transparency: Developers must be transparent about how their software works and what data it collects.
  • Bias: Developers must ensure that their software is free from bias and does not discriminate against any group of people.
  • Community engagement: Developers must engage with the open source community and work collaboratively to improve their software.
  • Sustainability: Developers must ensure that their software is sustainable over the long term and that it can continue to be developed and maintained.
  • User empowerment: Developers must empower users to control their own data and make informed decisions about how it is used.
  • Social responsibility: Developers must consider the social impact of their software and work to ensure that it has a positive impact on society.
  • Ethical leadership: Developers must lead by example and set high ethical standards for themselves and others in the open source community.

Open Source Software Ethics from a User Perspective

Adopters of open source software also face ethical issues. Here are some of the top ethical issues for adopters of open source software:

  • Legal compliance: Adopters must ensure that they comply with the terms of the open source license and that they do not infringe on any intellectual property rights.
  • Security: Adopters must ensure that the open source software they use is secure and that it does not pose a risk to their systems or data.
  • Transparency: Adopters must be transparent about how they use open source software and what data it collects.
  • Bias: Adopters must ensure that the open source software they use is free from bias and does not discriminate against any group of people.
  • Community engagement: Adopters must engage with the open source community and work collaboratively to improve the software they use.
  • Sustainability: Adopters must ensure that the open source software they use is sustainable over the long term and that it can continue to be developed and maintained.
  • Social responsibility: Adopters must consider the social impact of the open source software they use and work to ensure that it has a positive impact on society.
  • Data privacy: Adopters must ensure that they protect the privacy of their users’ data and that they do not misuse or abuse that data.

Open Source Software Ethics from a Business Model Perspective

Open source software business models also face ethical issues when adopting open source software. Here are some of the top ethical issues for the business models of open source software:

  • Intellectual property: Open source software business models must ensure that they do not infringe on any intellectual property rights.
  • Transparency: Open source software business models must be transparent about how they use open source software and what data it collects.
  • Security: Open source software business models must ensure that the open source software they use is secure and that it does not pose a risk to their systems or data.
  • Community engagement: Open source software business models must engage with the open source community and work collaboratively to improve the software they use.
  • Sustainability: Open source software business models must ensure that the open source software they use is sustainable over the long term and that it can continue to be developed and maintained.
  • User empowerment: Open source software business models must empower users to control their own data and make informed decisions about how it is used.
  • Social responsibility: Open source software business models must consider the social impact of the open source software they use and work to ensure that it has a positive impact on society.
  • Ethical leadership: Open source software business models must lead by example and set high ethical standards for themselves and others in their organization.
  • Data privacy: Open source software business models must ensure that they protect the privacy of their users’ data and that they do not misuse or abuse that data.
  • Bias: Open source software business models must ensure that the open source software they use is free from bias and does not discriminate against any group of people.