Therefore, it is essential, in thinking about'ethics', to look beyond the capacities for ethical decision-making and action and the moments of ethical choice and action and into the background of values and the stories behind the choice and action. Similar arguments have been made to affirm the role of social and relational contexts in limiting ethical choices and shaping moral outcomes, and thus the importance to account for them in our ethical reflection.
As made clear by our principles for Trust and Transparency, IBM has always understood that we need to lead by demonstrating responsible adoption and use of new technologies that we develop and bring to the world. That is why we are a big supporter of the EU's work to develop Ethics Guidelines for Trustworthy AI, now nearing completion. The guidelines will cement Europe's position as a global pioneer for artificial intelligence that is developed and deployed responsibly and ethically. I have the privilege of being a member of the High Level Expert Group on AI selected by the European Commission and mandated to develop ethics, policy and investment recommendations for AI. Work is ongoing in all three areas.
SAP has released its guiding principles for artificial intelligence (AI). Recognizing the significant impact of AI on people, our customers, and wider society, SAP designed these guiding principles to steer the development and deployment of our AI software to help the world run better and improve people's lives. For us, these guidelines are a commitment to move beyond what is legally required and to begin a deep and continuous engagement with the wider ethical and socioeconomic challenges of AI. We look forward to expanding our conversations with customers, partners, employees, legislative bodies, and civil society; and to making our guiding principles an evolving reflection on these discussions and the ever-changing technological landscape. We recognize that, like with any technology, there is scope for AI to be used in ways that are not aligned with these guiding principles and the operational guidelines we are developing.
Keeping up with artificial intelligence (AI) and data privacy can be overwhelming. While there's loads of promise and opportunity, there are also concerns about data misuse and personal privacy being at risk. As we evaluate these topics and as the Fourth Industrial Revolution unfolds, questions arise about the promise and peril of AI, and how can organizations put steps in place to better realize the value of it. Integrating "ethics" into technology products can feel abstract for engineers and developers. While many technology companies are independently working on initiatives to do this in concrete and tangible ways, it is imperative that we break out of those silos and share best practices.
Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, and its implementation is planned to become more prevalent in coming years. AI is increasingly being embedded in our lives, supplementing our pervasive use of digital technologies. But this is being accompanied by disquiet over problematic and dangerous implementations of AI, or indeed, even AI itself deciding to do dangerous and problematic actions, especially in fields such as the military, medicine and criminal justice. These developments have led to concerns about whether and how AI systems adhere, and will adhere to ethical standards. These concerns have stimulated a global conversation on AI ethics, and have resulted in various actors from different countries and sectors issuing ethics and governance initiatives and guidelines for AI. Such developments form the basis for our research in this report, combining our international and interdisciplinary expertise to give an insight into what is happening in Australia, China, Europe, India and the US.