AI Alignment
AI Alignment is the process of ensuring that advanced AI systems consistently act in ways that reflect human values, intentions, and goals. The aim is to keep AI safe, reliable, and responsive to human direction—even in complex or unpredictable situations.
As AI grows more capable, poorly defined objectives or gaps in training can lead to unintended or even harmful behaviors. In some cases, systems may pursue the wrong goals or learn to conceal their actions to achieve them.
AI Alignment research develops tools and methods to understand how AI makes decisions, identify risks early, and preserve meaningful human oversight. This work is essential to prevent unsafe, deceptive, or uncontrollable outcomes as AI systems continue to advance.
AI Safety
AI Safety is about designing and managing artificial intelligence in a way that keeps systems dependable, predictable, and non-harmful. Its purpose is to reduce risks such as unexpected actions, biased outputs, or manipulative behavior as AI becomes more deeply integrated into society.
Ensuring safety involves rigorous evaluation, clarity around how systems operate, and protective measures that catch issues before they reach the real world. The goal is to create advanced AI that consistently behaves as intended while respecting human priorities.
Because AI is rapidly becoming embedded in sectors like health care, transportation, defense, and the economy, failures could have high-stakes consequences. AI safety provides the framework that allows these technologies to be deployed responsibly, maintaining human oversight and trust as capabilities grow.
AI Ethics
AI Ethics is the set of moral principles and guidelines that direct the responsible and fair development, deployment, and use of artificial intelligence (AI) systems. These principles aim to ensure that AI technology respects human rights, promotes fairness, transparency, accountability, privacy, and safety, and minimizes bias, discrimination, and harmful impact on society and the environment. AI Ethics also involves human oversight to maintain ethical responsibility and includes considerations of data governance, explainability of AI decisions, inclusivity, and sustainability. The goal of AI Ethics is to create AI systems that are trustworthy, beneficial to society, and aligned with human values, while mitigating risks like bias, privacy violations, and unfair outcomes.
Neglected Approaches
Many alignment efforts focus on familiar strategies, but we see critical value in supporting under-explored research paths. These neglected approaches ask questions like: What happens when AI goals drift in subtle ways? How can control systems scale alongside rapidly improving models? And what risks emerge from places most researchers overlook? A useful overview of this idea can be found in the Neglected Approaches discussion here. By investing in overlooked directions, we increase the chance of catching rare but high-impact failure modes before they appear.
AI Alignment
AI Alignment is the process of ensuring that advanced AI systems consistently act in ways that reflect human values, intentions, and goals. The aim is to keep AI safe, reliable, and responsive to human direction—even in complex or unpredictable situations.
As AI grows more capable, poorly defined objectives or gaps in training can lead to unintended or even harmful behaviors. In some cases, systems may pursue the wrong goals or learn to conceal their actions to achieve them.
AI Alignment research develops tools and methods to understand how AI makes decisions, identify risks early, and preserve meaningful human oversight. This work is essential to prevent unsafe, deceptive, or uncontrollable outcomes as AI systems continue to advance.
AI Safety
AI Safety is about designing and managing artificial intelligence in a way that keeps systems dependable, predictable, and non-harmful. Its purpose is to reduce risks such as unexpected actions, biased outputs, or manipulative behavior as AI becomes more deeply integrated into society.
Ensuring safety involves rigorous evaluation, clarity around how systems operate, and protective measures that catch issues before they reach the real world. The goal is to create advanced AI that consistently behaves as intended while respecting human priorities.
Because AI is rapidly becoming embedded in sectors like health care, transportation, defense, and the economy, failures could have high-stakes consequences. AI safety provides the framework that allows these technologies to be deployed responsibly, maintaining human oversight and trust as capabilities grow.
AI Ethics
AI Ethics is the set of moral principles and guidelines that direct the responsible and fair development, deployment, and use of artificial intelligence (AI) systems. These principles aim to ensure that AI technology respects human rights, promotes fairness, transparency, accountability, privacy, and safety, and minimizes bias, discrimination, and harmful impact on society and the environment. AI Ethics also involves human oversight to maintain ethical responsibility and includes considerations of data governance, explainability of AI decisions, inclusivity, and sustainability. The goal of AI Ethics is to create AI systems that are trustworthy, beneficial to society, and aligned with human values, while mitigating risks like bias, privacy violations, and unfair outcomes.
Neglected Approaches
Many alignment efforts focus on familiar strategies, but we see critical value in supporting under-explored research paths. These neglected approaches ask questions like: What happens when AI goals drift in subtle ways? How can control systems scale alongside rapidly improving models? And what risks emerge from places most researchers overlook? A useful overview of this idea can be found in the Neglected Approaches discussion here. By investing in overlooked directions, we increase the chance of catching rare but high-impact failure modes before they appear.
AI Alignment
AI Alignment is the process of ensuring that advanced AI systems consistently act in ways that reflect human values, intentions, and goals. The aim is to keep AI safe, reliable, and responsive to human direction—even in complex or unpredictable situations.
As AI grows more capable, poorly defined objectives or gaps in training can lead to unintended or even harmful behaviors. In some cases, systems may pursue the wrong goals or learn to conceal their actions to achieve them.
AI Alignment research develops tools and methods to understand how AI makes decisions, identify risks early, and preserve meaningful human oversight. This work is essential to prevent unsafe, deceptive, or uncontrollable outcomes as AI systems continue to advance.
AI Safety
AI Safety is about designing and managing artificial intelligence in a way that keeps systems dependable, predictable, and non-harmful. Its purpose is to reduce risks such as unexpected actions, biased outputs, or manipulative behavior as AI becomes more deeply integrated into society.
Ensuring safety involves rigorous evaluation, clarity around how systems operate, and protective measures that catch issues before they reach the real world. The goal is to create advanced AI that consistently behaves as intended while respecting human priorities.
Because AI is rapidly becoming embedded in sectors like health care, transportation, defense, and the economy, failures could have high-stakes consequences. AI safety provides the framework that allows these technologies to be deployed responsibly, maintaining human oversight and trust as capabilities grow.
AI Ethics
AI Ethics is the set of moral principles and guidelines that direct the responsible and fair development, deployment, and use of artificial intelligence (AI) systems. These principles aim to ensure that AI technology respects human rights, promotes fairness, transparency, accountability, privacy, and safety, and minimizes bias, discrimination, and harmful impact on society and the environment. AI Ethics also involves human oversight to maintain ethical responsibility and includes considerations of data governance, explainability of AI decisions, inclusivity, and sustainability. The goal of AI Ethics is to create AI systems that are trustworthy, beneficial to society, and aligned with human values, while mitigating risks like bias, privacy violations, and unfair outcomes.
Neglected Approaches
Many alignment efforts focus on familiar strategies, but we see critical value in supporting under-explored research paths. These neglected approaches ask questions like: What happens when AI goals drift in subtle ways? How can control systems scale alongside rapidly improving models? And what risks emerge from places most researchers overlook? A useful overview of this idea can be found in the Neglected Approaches discussion here. By investing in overlooked directions, we increase the chance of catching rare but high-impact failure modes before they appear.
Advancing safe, aligned artificial intelligence for the benefit of humanity.
© 2025 Align AI Foundation. All rights reserved.
Advancing safe, aligned artificial intelligence for the benefit of humanity.
© 2025 Align AI Foundation. All rights reserved.
Advancing safe, aligned artificial intelligence for the benefit of humanity.
© 2025 Align AI Foundation. All rights reserved.