AI News, In Favor of Developing Ethical Best Practices in AI Research

DeepMind is the world leader in artificial intelligence research and its application for positive social impact.

Our unique approach to research encourages interdisciplinary collaboration across all teams at DeepMind, providing an impressive balance of structure and flexibility, and bringing together expertise from a wide range of areas.

DeepMind Ethics and Society The DeepMind Ethics and Society team supports the organization’s overall mission, to solve intelligence and use it to help make the world a better place, by exploring the full range of ethical and social implications that  accompany the development of AI technologies.

 We are committed to equal employment opportunity regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law.

What are some ethical challenges that need to be addressed in Machine Learning and artificial Intelligence? How much have we progressed to remedy these challenges and what obstacles lie ahead?

Regardless of whether you think they will adhere to them, I think it's a great example for a thoughtful approach to the ethical challenges in AI: Objectives for AI applications We will assess AI applications in view of the following objectives.

As we consider potential development and uses of AI technologies, we will take into account a broad range of social and economic factors, and will proceed where we believe that the overall likely benefits substantially exceed the foreseeable risks and downsides.

We will strive to make high-quality and accurate information readily available using AI, while continuing to respect cultural, social, and legal norms in the countries where we operate.

We will seek to avoid unjust impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief.

AI tools have the potential to unlock new realms of scientific research and knowledge in critical domains like biology, chemistry, medicine, and environmental sciences.

As we develop and deploy AI technologies, we will evaluate likely uses in light of the following factors: AI applications we will not pursue In addition to the above objectives, we will not design or deploy AI in the following application areas: We want to be clear that while we are not developing AI for use in weapons, we will continue our work with governments and the military in many other areas.

In the News: Artificial Intelligence in Medical Research

This week, Cleveland Clinic launched The Center for Clinical Artificial Intelligence, focused on translating AI-based concepts into clinical tools, developing innovative clinical applications for AI and leveraging machine-learning technology to improve health care delivery.

A key challenge as AI continues to progress will be to ensure that it’s developed and used in a way that’s compatible with the public interest, while still driving innovation.

report from the Nuffield Council on Bioethics identifies these potential ethical concerns: For more detailed news in the world of health research AI, here are a few resources that caught our eye.

Working alongside French pharma giant Sanofi, Berg is using artificial intelligence and machine learning to better understand the flu and, hopefully, find new ways to stop it.”

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