Adela Cortina - "Ética de la Inteligencia Artificial"

Introduction to the Seminar

Opening Remarks

• The session begins with a brief introduction, acknowledging the customary 10-minute courtesy for attendees of seminars.

• The speaker expresses excitement about the upcoming presentation by Adela Cortina, highlighting her prominence in discussions on ethics related to artificial intelligence (AI).

Adela Cortina's Presentation

Overview of AI Ethics

• Adela thanks Semílio for the invitation and shares her appreciation for the excellent presentations earlier in the day.

• She introduces her topic: "The Ethics of Artificial Intelligence," noting initial global skepticism towards AI due to fears of unemployment and inequality.

Shifting Perspectives on AI

• Cortina discusses how perceptions have evolved; society now recognizes significant benefits from AI beyond just economic advantages, including political and personal dimensions.

• She contrasts two forms of capitalism: Silicon Valley's neoliberal approach versus China's platform capitalism, emphasizing their geopolitical implications.

The Role of the European Union

• Cortina commends the European Union for addressing these issues through proposals aligned with human rights and social justice, stressing that economic power is essential for moral authority.

The Importance of Freedom

Human Freedom in a Technological World

• She argues against deterministic views that suggest technology limits freedom, asserting that individuals retain a degree of autonomy despite external pressures.

• Emphasizing freedom as humanity's most sacred good, she calls for ethical use of this freedom in shaping our world amidst technological advancements.

Ethical Framework for AI Management

Justice and Beneficiaries

• Cortina highlights that those affected by globalization and AI should also be beneficiaries, advocating for justice as a guiding principle in ethical frameworks.

• She proposes that ethical considerations must address how to organize AI systems effectively while ensuring moral clarity regarding their impact on society.

Philosophical Foundations

Ethics of Artificial Intelligence: A Multidisciplinary Approach

The Importance of Applied Ethics

• The speaker emphasizes the complexity of applying ethical theories to various aspects of everyday life, highlighting the need for interdisciplinary collaboration.

• Applied ethics addresses moral problems across different social spheres, requiring input from various ethical theories and specialists in those fields.

• The seminar is presented as a prime example of applied ethics, showcasing participation from diverse disciplines, which is essential for addressing contemporary issues.

Interdisciplinary Collaboration in Ethics

• Modern problems cannot be solved by a single discipline; all must work together to create effective solutions.

• New areas like AI ethics and roboethics require contributions from computer scientists, engineers, moral philosophers, social scientists, and economists.

Levels of Ethical Consideration in AI

• The speaker outlines three levels regarding how humans should ethically interact with intelligent systems versus how these systems should operate based on their own principles.

First Level: Human Interaction with Intelligent Systems

• This level focuses on the ethical framework that humans must adopt when dealing with intelligent systems such as algorithms and robots.

• Key stakeholders include researchers, designers, owners, and users who must adhere to an established ethical code when interacting with these technologies.

Ethical Framework for Intelligent Systems

• Designers are urged to develop professional ethics guidelines (e.g., roboethics), recognizing that intelligent systems serve human purposes rather than being ends in themselves.

Global Perspectives on Ethical Guidelines

• There exists a variety of ethical orientations globally that guide interactions with technology. These frameworks emerge after technological advancements prompt questions about their moral implications.

Anticipating Ethical Challenges

Framework of Bioethics in AI

Introduction to EU Framework

• The speaker supports the European Union's 2019 framework, which outlines key bioethical principles relevant to artificial intelligence (AI).

• The framework introduces five principles: four traditional bioethical principles plus a fifth principle of explainability and traceability.

Traditional Bioethical Principles

Principle of Non-Maleficence

• The first principle is non-maleficence, emphasizing the importance of not causing harm.

• AI should be beneficial for society; if it isn't, efforts should be made to eliminate its use.

Principle of Beneficence

• This principle states that practices must benefit society. AI applications should enhance productivity and efficiency without causing harm.

Principle of Autonomy

• Autonomy is crucial within the EU context; individuals must have the capacity to make their own decisions.

• Autonomy involves self-sufficiency and making humanizing choices, not merely avoiding external control.

Principle of Justice

• Justice ensures equitable benefits from AI advancements; no one should be left behind.

• The pandemic highlighted existing inequalities, reinforcing the need for fairness in distributing technological benefits.

Key Insights on Autonomy and Responsibility

Human Oversight in Decision-Making

• Decisions affecting lives cannot solely rely on algorithms without human supervision; this prevents biased outcomes.

Moral Responsibility

• Moral responsibility cannot be assigned to autonomous technologies; humans must ultimately take accountability for decisions made by AI systems.

Ethical Considerations for Machine Intelligence

Ethics Embedded in Programming

Ethical Considerations in Autonomous Systems

The Challenge of Machine Creativity and Ethics

• Discussion on the ethical implications of machine creativity and innovation, emphasizing the need to consider moral pluralism within diverse societies.

• Importance of establishing common transnational values for intelligent systems, moving beyond mere pluralism to find minimal agreements that respect all human beings.

Theories of Ethics in Machines

• Exploration of which ethical theories (Aristotelian, ontological, utilitarian) should be integrated into machines, highlighting ongoing debates about their appropriateness.

• Need for a comprehensive understanding of how these ethical frameworks can shape machine ethics and decision-making processes.

Autonomy vs. Automatism in Decision-Making

• Examination of whether autonomous machines truly possess autonomy or if they are merely automatons dependent on their creators' programming.

• Introduction to the concept of artificial moral agents capable of self-awareness and ethical reasoning based on their own moral codes.

Possibility and Limitations of Moral Agency

• Discussion on whether it is feasible for machines to become responsible moral agents with self-awareness and freedom in decision-making; current consensus suggests this is not yet possible.

• Emphasis on focusing efforts on foundational ethical levels while acknowledging future possibilities for higher-level moral agency in machines.

Collaborative Efforts Towards Ethical AI

• Highlighting the necessity for public debate to establish shared values among political, economic, and civil sectors to guide AI development ethically.

• Stressing the role of citizenship as a universal class that can bridge gaps between sectors; education is crucial for fostering understanding and collaboration towards sustainable development goals.

Digital Divide: A Growing Concern?

Digitalization and Justice: Bridging the Gap

The Importance of Dialogue in Digitalization

• The concept of the "first world" and "third world" is discussed, emphasizing that developed countries must address the digital divide.

• A call for dialogue and agreements among different countries and cultures is highlighted as essential to focus on a unified direction towards digitalization.

• Digitalization is viewed as a significant advantage for humanity, stressing that its benefits should be accessible to all.

Ethical Considerations in Artificial Intelligence

• A book recommendation on ethics in artificial intelligence sparks discussion about human-machine interactions and intentionality.

• Questions arise regarding whether we can judge machines by human ethics or if we need to rethink our understanding of intent within AI systems.

Levels of Intelligence in AI Systems

• The first level of intelligent systems lacks true intentionality; they are seen merely as tools serving humans.

• Transitioning to a second level where AI mimics human-like general intelligence introduces complexities such as intentionality, consciousness, and emotional depth.

Understanding Intentionality in Intelligent Systems

• True general intelligence requires not just intentionality but also self-awareness, decision-making capabilities, emotions, and feelings.