AI ETHICS LAB

Cansu is a philosopher and the Founder+Director of AI Ethics Lab, one of the first initiatives focusing exclusively on advising practitioners and conducting multidisciplinary research on AI ethics. She is also the Director of Responsible AI Practice at the Institute for Experiential AI and a Research Associate Professor in Philosophy at Northeastern University, with affiliations with the Ethics I…

. Invited Talk: NEXT! in Ethical Future Shaping the Future ResponsiblyABOUT THE TALK:‘In this enlightening session, Dr. Cansu Canca, founder and director of AI Ethics Lab, will delve into the ethical considerations crucial for responsible future shaping. Gain insights into […] The post MMA Global, Smarties NEXT! Conference – 11.12.2023 appeared first on AI ETHICS LAB .

The PiE (Puzzle-solving in Ethics) Model Ethics is about answering one crucial question: “What is the right thing to do?” The PiE (puzzle-solving in ethics) Model focuses on this core question in a systematic manner, integrating ethical puzzle-solving into the whole process of innovation to ensure that ethical issues are handled in the right way and at the right time. In 2018, we developed and st…

The Mapping is a structured method for solving ethical questions in technology design. It is an interactive workshop that takes its starting point in the challenges that arise when technologies clash with our social world. Through a game-like structure, the Mapping helps the players develop essential tools to think in depth about ethical problems, evaluate possible outcomes, and decide on ethical…

'Today, companies must prioritize ethical and responsible technology, in addition to sustaining profitable outcomes. Join Deloitte's Tech Intercepts session with Cansu Canca to gain insights into transformative ethical tech practices and uncover creative ways to take their company’s capabilities to the next level.' The post Deloitte, Tech Intercepts: Exploring fairness, bias, and ethics in techno…

AI ETHICS ROADMAP How skilled is your organization in detecting and proactively dealing with ethical issues and concerns that arise in building and using AI technologies? What are your company’s most pressing ethics needs, your highest ethical risks, and your long-term goals? Each organization is unique. We dive deep and learn about the organization’s culture, governance, and work in order to ass…

Organizations need an ethics strategy for dealing with overarching, recurrent, and complex ethics problems. Instead of starting from scratch each time and finding ad-hoc solutions, we create an AI ethics governance structure with operational procedures, guiding materials, and designated teams and individuals for ethical decision-making. Any organization committed to developing and/or using AI tec…

How skilled is your organization in detecting and proactively dealing with ethical issues and concerns that arise in building and using AI technologies? What are your company’s most pressing ethics needs, your highest ethical risks, and your long-term goals? Each organization is unique. We dive deep and learn about the organization’s culture, governance, and work in order to assess its strengths …

Creators, leaders, and deployers of AI technologies each have to engage with ethical decision-making in their respective tasks. Providing the necessary skills and tools to each group and connecting their expertise to ethical decision-making fully transforms the organization’s ethics capability. In building AI technologies, creators are in a unique position to be effective “first responders” for c…

Ethical issues arise in every stage of innovation: research, design, development, manufacturing, deployment, and even updating. Often these issues are complex ethical puzzles that require detailed analyses to find solutions. Our aim is to solve these ethical puzzles early on before they spill over to the next stage. Doing so not only helps finetune the technology for the better but also avoid was…

'During a recent Iron Mountain Executive Exchange event, Cansu Canca, Founder + Director of AI Ethics Lab spoke about the topic of responsible AI and ethics by design. Dr. Canca shared her perspective on how organizations should be building ethics into their AI systems. There was so much to discuss that she later sat down with Iron Mountain to carry on the conversation.' The post Iron Mountain in…

Associate Researcher Laura is an associate researcher at the Department of Philosophy at Harvard University and at the AI Ethics Lab. Her work is on tech governance and the ethics of AI, with a focus on the epistemic implications of emerging technologies in real-life. A central objective of her research is to establish what it takes to create strong and healthy knowledge environments online. The …

We decided to create the AI Principles Map to help understand the trends, common threads, and differences among numerous sets of principles published. You can; - zoom in and out with mouse roll, - click on pins to read the summaries, - sort by date using the timeline on the right side, - sort by type of organization using the checkbox at the bottom, - search for specific documents using the searc…

We decided to create the AI Principles Map to help understand the trends, common threads, and differences among numerous sets of principles published. You can; - zoom in and out with mouse roll, - click on pins to read the summaries, - sort by date using the timeline on the right side, - sort by type of organization using the checkbox at the bottom, - search for specific documents using the searc…

AI Ethics Lab collaborated with Intenseye to evaluate and enhance the ethical aspects of their AI systems for workplace safety. Intenseye's vision is to use AI systems to reduce harm and increase well-being of workers. AI Ethics Lab utilized its tool, the Box, to evaluate Intenseye's systems and offer guidance. Read our report here. The post Lab’s Work with Intenseye on the Ethics of their ‘AI fo…

AI Ethics Lab’s toolbox Dynamics of AI Principles is extensively featured in Stanford Human-Centered AI’s AI Index Report 2021. This 4th edition of the report provides a comprehensive analysis of the field of AI. AI Ethics Lab's toolbox is used for the analyses in Chapter 5.1: AI Principles and Frameworks. The post Lab’s ‘Dynamics of AI Principles’ featured @ Stanford’s AI Index Report appeared f…

"The Thomas A. Pitts Lectureship in Medical Ethics is an educational series in biomedical ethics that brings together a group of scholars each year to explore a particular area of biomedical ethics and health policy. The 27th Annual Lectureship addresses 'Artificial Intelligence in Health Care: Ethical Implications'." The post 27th Annual Thomas Pitts Lectureship in Medical Ethics – 19.2.2021 app…

Increasingly, investors—both institutional and angel investors—request companies to proactively address and solve ethical issues. This attitude is not only grounded in ethical concerns but also in business concerns: In this regulatory landscape where rules that apply AI systems are and will remain for a while unclear, organizational ethics is paramount for reducing risks associated with ethics er…

Developers, designers, engineers, and researchers have to deal with multiple ethical issues and concerns related to AI technologies as they work through a project. These “creators” of AI technologies are often not provided with skills and tools to help them address arising ethical problems. That’s where we come in to help through ANALYSIS and TRAINING. Our goal is to help creators—in companies, s…

Whether it is a tech company building AI systems, an incubator for start-ups, or a hospital or a bank using AI technologies, leadership in organizations building or deploying AI systems is often unfamiliar with the ethical landscape that they are walking into. This not only exposes them to unexpected ethics and business risks but it also makes them miss out on opportunities to meet their users’ e…