The Internet of Things (IoT) consistently generates vast amounts of data, sparking increasing concern over the protection of data privacy and the limitation of data misuse. Federated learning (FL) facilitates collaborative capabilities among multiple parties by sharing machine learning (ML) model parameters instead of raw user data, and it has recently gained significant attention for its potential in privacy preservation and learning efficiency enhancement. In this paper, we highlight the digital ethics concerns that arise when human-centric devices serve as clients in FL. More specifically, challenges of game dynamics, fairness, incentive, and continuity arise in FL due to differences in perspectives and objectives between clients and the server. We analyze these challenges and their solutions from the perspectives of both the client and the server, and through the viewpoints of centralized and decentralized FL. Finally, we explore the opportunities in FL for human-centric IoT as directions for future development.

As machines become increasingly more accurate and intelligent, we humans will need to sharpen our skills. One of your primary responsibilities as a Learning & Development leader is to sharpen your skill and ensure that you empower the workforce to develop the four skills critical to thriving in 2030. I have compiled a series of articles titled eLearning Skills 2030 to explore the essential skills to help you future-proof your career and lead your team. This article explores the skill of Digital Ethics, why it is critical, and what actionable steps you can take today to improve. According to Brian Patrick Green, director of Technology Ethics at Santa Clara University, technology or digital ethics refers to applying ethical thinking and acting to the practical concerns of technology.

As we begin 2022, the COVID-19 pandemic continues to disrupt, and we are likely to see a hybrid approach to work for the foreseeable future with a mix of remote and office working for many organisations. Many firms were able to mitigate the impact of various lockdowns with technology. However, others were not so fortunate, and those companies unable to adopt a working from home policy had to temporarily shut down. This has inevitably led to many negative impacts on businesses, industries, and the economy. One positive is that technology has become our lifeline.

However, it's only really in the last year that we have really seen digital ethics hit the mainstream, with organisations in the private and public sector focusing their attention and, increasingly, resources, on these matters. So, what's caused this shift? Many organisations underwent an overnight transformation during the pandemic to survive and at the heart of this was the accelerated adoption of more advanced technologies such as automation and artificial intelligence (AI). Organisations are now taking a more serious look at what being data-driven means for them, developing data strategies that could shift entire business models. Without integrating digital ethics into this acceleration, the ethical risks proliferate.

AI ethics expert Joanna J Bryson spoke to Siliconrepublic.com about the challenges of regulating AI and why more work needs to be done. As AI becomes a bigger part of society, the ethics around the technology require more discussion, with everything from privacy and discrimination to human safety needing consideration. There have been several examples in recent years highlighting ethical problems with AI, including an MIT image library to train AI that contained racist and misogynistic terms and the controversial credit score system in China. In recent years, the EU has made conscious steps towards addressing some of these issues, laying the groundwork for proper regulation for the technology. Its most recent proposals revealed plans to classify different AI applications depending on their risks.

Data processing has historically been at the very core of the insurance business, which is rooted strongly in data-led statistical analysis. Mathematical models to process data have always been used to inform underwriting decisions, price policies, settle claims and prevent fraud. There has been a pursuit of more granular datasets and predictive models, such that the relevance of Big Data Analytics for the sector is no surprise. Additionally, the Covid-19 pandemic seems to have accelerated the adoption of artificial intelligence, including throughout the insurance value-chain. In 2019, EIOPA launched a thematic review on the use of Big Data Analytics specifically by insurance undertakings or intermediaries.

From privacy and surveillance to fairness and transparency, Avanade Ireland's Graham Healy discusses what leaders need to think about when it comes to digital ethics. As digital transformation accelerates, there are plenty of issues for leaders to contend with, from considering a remote workforce to a decentralised data management system. However, there are also ethical issues to consider when it comes to digitalisation, including data privacy, transparency and accessibility. According to Graham Healy, the areas on which leaders need to focus their attention depends on several factors, including the business they're in. Healy is the country manager for Avanade in Ireland, a joint venture between Microsoft and Accenture that delivers digital, IT and advisory services to clients all over the world.

With intelligence at the heart of all digital businesses, IT and business leaders are continuing to make analytics and BI a top investment priority. Gartner's latest Hype Cycle report identified five of the main trends within this trajectory. The report also offered insights for data and analytics leaders to help make the transition to augmented analytics, to build a digital culture and to operationalise and scale analytics initiatives." Augmented analytics uses machine learning to automate data preparation, insight discovery, data science, and machine learning model development and insight sharing for a broad range of business users, operational workers and citizen data scientists. Gartner says, as it matures, augmented analytics will become a key feature of modern analytics platforms. "It will deliver analysis to everyone in an organisation in less time, with less of a requirement for skilled users, and with less interpretative bias than current manual approaches.

Reach out if you want to talk about digital & AI ethics in your organization-- Email: e-bruce@manydoors.net If you work for an organization that uses data--and just about all organizations do, or will before long--even if your job isn't specifically about data, your ability to make decisions using data, and decision about data, is becoming more and more important. An important subset of these decisions that involves everyone--decisionmakers, employees, and customers alike--falls under the general category of digital ethics, which can encompass how data is collected, stored, used, and shared. To illustrate, lets look at two examples of digital ethics in action, one surprisingly successful, and one disastrous. My friend Aaron Reich is basically the futurist in residence at Avanade, the global technology consulting firm. From the vantage point of his high level insight into many of their consulting projects, last year he called out a few examples where companies achieved remarkable improvement in ways that they can help their customers using data and artificial intelligence.

We live in the digital world, where every day we interact with digital systems either through a mobile device or from inside a car. These systems are increasingly autonomous in making decisions over and above their users or on behalf of them. As a consequence, ethical issues--privacy ones included (for example, unauthorized disclosure and mining of personal data, access to restricted resources)--are emerging as matters of utmost concern since they affect the moral rights of each human being and have an impact on the social, economic, and political spheres. Europe is at the forefront of the regulation and reflections on these issues through its institutional bodies. Privacy with respect to the processing of personal data is recognized as part of the fundamental rights and freedoms of individuals.