The healthcare industry has undergone a significant digital transformation in recent years, which has given rise to digital healthcare ecosystems that have the potential to revolutionise patient care and provider services. However, to realise the full benefits of these ecosystems, several critical factors must be addressed to ensure their integration and effectiveness. At the micro-level, digital technologies such as data analytics, machine learning, and artificial intelligence can offer valuable insights to digital healthcare ecosystems. To achieve successful integration, the ecosystems must identify their data needs, have access to relevant data sources, invest in the right technology tools, and establish clear governance structures that align with strategic objectives. At the meso-level, supply chain collaboration is essential to streamline operations, optimise efficiency, and improve cost-effectiveness.

While a robot doctor at the bedside is not on the horizon, data-driven digital health is transforming how we receive care - and society is still playing catch-up on the ramifications. In 2012, Professor Enrico Coiera, Founding Director of the Centre for Health Informatics (CHI) at the Australian Institute for Health Innovation, published a paper titled The Dangerous Decade. In it, he warned that more information and communication technology (ICT) would be deployed into healthcare in the 10 years to 2022 than in the health system's entire history to date. "Systems will be larger in scope, more complex, and move from regional to national and supranational scale," he wrote. "Yet we are at roughly the same place the aviation industry was in the 1950s with respect to system safety."

Artificial intelligence (AI) has the potential to unlock transformative economic, social and environmental opportunities for Australia. The potential for public benefit is significant, provided the development, adoption and use of AI is governed in a safe, responsible and sustainable manner. Governing AI in this way underpins community trust and stakeholder support and works to retain a social license. Importantly, good governance of AI also increases the likelihood that organisations will implement and scale up AI effectively and successfully. In other words, good governance creates a virtuous cycle whereby support for the widespread investment in and adoption of AI is maintained, and the transformative benefits of AI are more likely to be realised both at a business and societal level.

The COVID-19 crisis forced businesses everywhere to fast track their digital transformation efforts. Faced with the stark choice of becoming a digital-first business, or having no business at all, companies that were previously behind the curve had to implement everything from remote working to entire digital storefronts in a matter of days. According to research by McKinsey, the digital initiatives unleashed in response to the pandemic leapfrogged seven years of progress in a matter of months as companies acted 20 to 25 times faster than they had believed was possible. In the process, this acceleration of digital during the crisis brought about a sea change in executive mindsets with regard to the role of technology in business. Fast forward to today, and corporate leaders are now investing in technology for competitive advantage, refocusing their entire business around cutting-edge technologies, and initiating a business culture where experimentation and innovation is actively encouraged.

Artificial Intelligence has the potential to improve governance in terms of accountability, citizen engagement and interoperability. The Indian government has been cottoning on to the benefits of AI since the turn of the last decade. In 2020, the Centre increased the outlay for Digital India to $477 million to boost AI, IoT, big data, cybersecurity, machine learning and robotics. In the 2019 Union Budget speech, Finance Minister Nirmala Sitharaman said the government would offer industry-relevant skill training for 10 million youth in India in AI, Big Data and robotics. However, there is still a lot of scope for not only the Indian government.

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation.

This is a truly momentous time for machine learning in the enterprise, with investments soaring and a growing number of use cases that can create tangible business value. Organizations are still struggling with important phases of the AI/ML lifecycle. One particular challenge stands out: governance. A lack of robust governance doesn't just limit the potential success of your AI/ML initiative; it could put your entire business in peril as well. That was one of our major findings in Algorithmia's "2021 Enterprise Trends in Machine Learning" report.

A new commission has been formed by Oxford University to advise world leaders on effective ways to use Artificial Intelligence (AI) and machine learning in public administration and governance. The Oxford Commission on AI and Good Governance (OxCAIGG) will bring together academics, technology experts and policymakers to analyse the AI implementation and procurement challenges faced by governments around the world. Led by the Oxford Internet Institute, the Commission will make recommendations on how AI–related tools can be adapted and adopted by policymakers for good governance now and in the near future. The new Commission's inaugural thinkpiece, "Four Principles for Integrating AI & Good Governance" by Lisa-Maria Neudert and Philip Howard examines the procurement and use of AI by government and public agencies. The report outlines four significant challenges relating to AI development and application that need to be overcome for AI to be put to work for good governance and leverage it as a'force for good' in government responses to the COVID-19 pandemic.

Prime Minister Narendra Modi's government will leverage latest tools and insights drawn from Artificial Intelligence to improve the quality of governance for more than 1.34 billion Indian citizens. The government will also update the legal and regulatory framework to better protect the privacy and ownership of citizen's data, said commerce minister Suresh Prabhu. Addressing a conference on AI in New Delhi on Monday, Suresh Prabhu said that India was transporting more data than the cumulative data transported by both US and China. Without naming any company, the minister said the top six companies were using this massive amount of data for value addition and monetisation. "AI is the technology of today and the one who masters it will rule the world," said Suresh Prabhu, adding that every country is developing an AI strategy and India too is working on developing a strategy for the use of AI for the common good.

It's going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool. World over, political practices are in decline. I was shocked to see the advertising expenses by political leaders. Just imagine, we work hard, earn money, pay taxes and then, our tax money is used on advertising to tell us that we are doing so great. Come on, we have worked hard and we know that we are doing great.