As we delve into the age of Artificial Intelligence (AI), an era marked by significant strides towards groundbreaking technology and the promise of intelligent machines, it is imperative we give critical thought towards the ethical paradigm that frames this scientific expansion. This blog scours the intersection of AI and Ethics, all under the philosophical lens that encapsulates the power, potential and challenges associated with AI.

To understand this intersection, first we must define the two realms: Artificial Intelligence and Ethics. Artificial Intelligence refers to the creation and application of machines capable of performing tasks typically requiring human intelligence, such as understanding natural language, recognizing patterns, and making decisions. Ethics, on the other hand, embodies the nuanced study of morality, defining what is right and wrong, just and unjust.

Given these definitions, it’s clear how intertwined AI and Ethics are. The more autonomy we afford to AI systems, the closer we inch towards ethical questions. Should an autonomous vehicle choose to swerve and potentially harm its occupants to avoid hitting a pedestrian? And who bears the responsibility if an algorithm makes a decision that results in harm?

Philosophically, these questions are not new. They echo age-old debates about free will and determinism, the nature of moral agency, and our responsibilities towards others. What is new is the context — the emergence of machines which introduce a level of complexity and unpredictability that challenges our existing ethical frameworks.

The concept of Moral Agency is a fundamental crux in this intersection. In philosophy, a moral agent is an entity capable of making moral judgments and be held morally accountable for its actions. Human beings are indisputably moral agents, but where does AI fit in? Current AI, despite its sophistication, lacks consciousness and the capacity for subjective experience. Therefore, it’s widely argued that AI, in its current state, should not be considered a moral agent.

Yet, AI decision-making significantly impact human lives. Given this, some scholars propose the idea of ‘functional morality’, suggesting that entities like AI—which influence human decisions—should have a functional moral status. This warrants a careful design of AI system to take into account ethical considerations.

Bias in AI is another major ethical concern. AI systems are trained on vast datasets, often reflecting the unconscious biases present in those datasets. This has led to instances where algorithms propagate discrimination or unfair treatment. To navigate these issues, AI developers are urged to take measures to limit biases in AI outputs, and ensure transparency and fairness in algorithmic decision-making.

Further, the advent of AI has raised questions on Privacy and Autonomy. With AI’s data-driven functionality, individuals’ privacy often comes into the crossfire, leading to ethical dilemmas. Simultaneously, as AI becomes more embedded in our decision-making, concerns about human autonomy arise. This opens up a philosophical debate of balancing between leveraging AI’s potential and preserving individuals’ dignity and autonomy.

In conclusion, as we drive towards a future increasingly intertwined with AI, the ethical and philosophical considerations command serious attention. The intersection of AI and ethics is a landscape of deep-thought debate and intricate quandaries. The responsibility of AI developers, policymakers, and society at large, is to ensure that the development and deployment of AI aligns with our most deeply held ethical principles, and leads to a future which is just, fair and beneficial for all. The key rests in not merely reacting to ethical dilemmas but in proactively designing AI systems that respect and uphold human values.