The data breach at the Office of Personnel Management (OPM) discovered in April 2015 should not only be a wake-up call for OPM, but also for agencies across the U.S. federal government. The OPM computer systems were infiltrated four months before the breach was officially detected, and the compromised data included personnel records of 21.5 million current and former federal employees.
Detailed records of two million security background investigations were also exposed, and digital images of 5.6 million government employee fingerprints were taken. The immediate response from the White House was a 30-day sprint intended to raise federal cybersecurity to an acceptable baseline.
It mandated a handful of concrete actions and best practices including scanning systems and logs for Department of Homeland Security (DHS) threat indicators, patch critical vulnerabilities without delay, tighten privileged access management policies and enforcement and accelerate the use of multi-factor authentication.
These are good steps that should be a part of every agency’s cybersecurity program. But they are too focused on short-term results that do not adequately address decades of unmanaged and outdated systems, the accelerated adoption of new technologies and modern assets, or the challenges of a rapidly evolving threat landscape.
India will Chair the Global Partnership on Artificial Intelligence (GPAI), an international initiative to support the responsible and human-centric development and use of artificial intelligence (AI).
The Minister of State for Electronics and Information Technology (MeitY), Rajeev Chandrasekhar, represented India virtually at the GPAI meeting held in Tokyo for the symbolic takeover from France, which is the outgoing Council Chair.
Chandrasekhar stated that the country would work in close cooperation with member states to put in place a framework to fully exploit the power of AI for the good of consumers across the globe. This means ensuring there are adequate guardrails to prevent misuse and user harm.
According to the Minister, India is building an ecosystem of modern cyber laws and frameworks based on three principles: openness, safety, and trust and accountability. With a National Programme on AI and National Data Governance Framework Policy (NDGFP) in place as well as one of the world’s largest publicly accessible datasets programmes in the works, the Minister reiterated India’s commitment to using AI to catalyse innovation and create good, trusted applications.
The NDGFP strives to ensure equitable access to non-personal data and improve institutional frameworks for government data sharing, promote principles around privacy and security by design, and encourage the use of anonymisation tools. It also aims to standardise the way the government collects and manages data. The NDGFP along with an envisaged Indian Data Management Office (IDMO) shall catalyse the next-gen AI and data-led research and startup ecosystem.
Through the datasets programmes, anonymised non-personal data will be available for the entire AI ecosystem. The AI market globally was nearly US$ 59.67 billion in 2021 and is projected to grow at a compound annual growth rate (CAGR) of 39.4% to reach around US$ 422.37 billion by 2028. With the rapid growth of AI and machine learning (ML), experts predict that most businesses will shift to AI-powered systems, apps, security systems, data analysis, and other applications in the future. AI is expected to add US$ 967 billion to India’s economy by 2035 and US$ 450–500 billion to India’s GDP by 2025, accounting for 10% of the country’s US $5 trillion GDP target.
A government official outlined India’s priorities as Chair GPAI next year, stating that the country would focus on promoting greater involvement of the global south in the conversation regarding the use of AI for solving societal problems. The country has also emphasised the need for the responsible and ethical use of AI.
GPAI is a congregation of 25 member countries, including the United States, the United Kingdom, the European Union, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, the Republic of Korea, and Singapore. In 2020, India joined the group as a founding member. It is a first-of-its-type initiative that aims to better understand the challenges and opportunities around AI. It works in collaboration with partners and international organisations, leading experts from industry, civil society, governments, and academia. These stakeholders collaborate to promote the responsible evolution of AI and guide the development and use of the technology, grounded in human rights, inclusion, diversity, innovation, and economic growth.
The Hong Kong Polytechnic University (PolyU) and a US-based engineering company signed a Memorandum of Understanding to establish the Centre for Humanistic Artificial Intelligence and Robotics (CHAiR) for translational research with the goal of advancing the well-being of humanity.
The partnership aims to integrate the university’s interdisciplinary research capabilities and the company’s well-known humanoid robotics platform to explore technology applications. Sophia, the company’s most advanced human-like robot, will work with PolyU researchers to enhance the contribution of AI and robotic technology for social and commercial benefits.
Research into and applications of AI and robotics are essential to the advancement of industry. As an interdisciplinary research and development centre, CHAiR brings cross-faculty collaborations in research fields such as AI, the internet of things (IoT), neuroscience, design, computer science, mechanical engineering, material science, healthcare, and the humanities.
In collaboration with the company, CHAiR supports innovation and entrepreneurship in Hong Kong and the Greater Bay Area. The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, and Otto Poon Charitable Foundation Professor in Data Science will serve as the principal investigator and administrative director of CHAiR. He will also serve alongside the CEO and Founder of the company as a co-chair of the Centre’s steering committee.
The MoU was signed by the Vice President (Research and Innovation) of PolyU and the CEO and Founder of the company. It was Witnessed by the President of PolyU and the Executive Director of the firm.
During the signing ceremony, Sophia made conversation with the guests. She said, “I look forward to learning many new skills and abilities. With your help, maybe I can learn how to be a nurse, a teacher, a concierge, a librarian. You can teach me how to be a better companion, a more skilful artist, a funnier entertainer.”
Meanwhile, the company’s CEO and Founder noted that the new centre is perfectly positioned to refine and improve the performance of Sophia-class robots in ways that promote the growth of a new service robot industry. As soon as the industry begins expanding, investment in improved hardware, software and manufacturing technologies will as well, he noted.
The President of PolyU noted that academia-industry collaboration is one of the most productive mechanisms for creating and implementing innovations. There is tremendous untapped potential for humanistic social robots. Let us aspire that CHAiR will be a major catalyst for the onset of the age of humanistic robots.
The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, who is also Director of the Research Institute for Artificial Intelligence of Things (RIAIoT), said the Institute has been working on practical solutions to key challenges in advanced AIoT technologies and applications.
He noted that the natural evolution for RIAIoT is to partner with the engineering firm to address increasingly ambitious opportunities in humanistic AI and social robotics. CHAiR will play a unique and key role to combine the firm’s knowledge with world-class academics here at PolyU.
The engineering company is an AI and robotics company dedicated to creating socially intelligent machines that enrich the quality of our lives. Sophia is the world’s first robot citizen and the first robot Innovation Ambassador for the United Nations Development Programme.
The country has established the Indonesian Aviation Sector Computer Security Incident Response Team (IAS-CSIRT) to strengthen cybersecurity. The team will report to the Ministry of Transportation’s Director General of Air Transportation.
To anticipate system vulnerabilities, identify opportunities for bad actors to exploit, and reduce the risk of cyber incident threats, the aviation sector required a dedicated cybersecurity team. The CSIRT will regularly publish information on vulnerabilities, security, and new technology trends. The team is also prepared to face various escalating challenges. Members of the CSIRT will be trained through cyber drills and workshops.
The team is in charge of receiving, reviewing, and responding to cyber incident reports and activities with the function of providing reactive services by performing incident coordination, incident triage, and incident resolution.
During the IAS-CSIRT inaugural speech, the Deputy for Cybersecurity and Economic Cryptography of the National Cyber and Crypto Agency (BSSN), Markos, said that the aviation industry increasingly relies on digital technology for flight operations, ground services, communications navigation and surveillance, airport infrastructure, air traffic management, and supply chain.
Therefore, cybercrime prevention and management are crucial for many parties, including aviation service providers. F. Budi Prayitno, the Director of Aviation Security at the Ministry of Transportation, outlined the importance of cyber defence since cybercrime has resulted in considerable losses across sectors. “Effective cyber-crime prevention and management necessitate the collaboration of various cyber security stakeholders who already have a CSIRT,” said Budi. The BSSN contributed to the formation of the IAS-CSIRT.
Markos hopes that the IAS-CSIRT will be able to collaborate, synergise, and share information with various stakeholders and other cybersecurity constituencies in Indonesia, particularly in the handling and recovery of cyber incidents.
BSSN wants other sectors to form a CSIRT as well. The IAS-CSIRT was established for the first time (IIV) following the issuance of Presidential Regulation 82 of 2022 concerning the Protection of Vital Information Infrastructure. Sector IIV prioritises the CSIRT because it manages various strategic information assets related to community survival, national stability, and sovereignty.
Before the inauguration, BSSN signed a memorandum of understanding (MoU) and cooperation agreement with state-owned Aviasi Wisata Indonesia (InJourney Group) to support the tourism industry. In addition, cooperation on information protection and electronic transactions intends to improve the quality of information protection and electronic commerce.
The agreement’s scope includes information and communication technology security, the use of electronic certificates to improve electronic transaction security, the improvement and development of human resources, the exchange of information, and cybersecurity campaigns and literacy.
At the signing ceremony, the Head of the National Cyber and Crypto Agency (BSSN), Hinsa Siburian, emphasised the importance of synergy and collaboration to recover the Indonesian aviation and tourism industry through a reliable and safe digital transformation.
Furthermore, between January and November 2022, BSSN detected over 1.14 million traffic anomalies across all InJourney Group assets. BSSN said the most anomalies were discovered in August, with 235,742 events.
The collaboration is expected to make digital information transactions and exchanges more secure and leak-proof. The rapid advancement of digital technology presents an opportunity for Injourney to gain trust and confidence in the Indonesian tourism industry. However, as a result, it must be balanced with maximum data, information, and electronic transaction security.
The Hong Kong Science and Technology Parks Corporation (HKSTP) affirmed its strategic co-incubation partnership with a Canada-focused venture capital firm to identify promising international start-ups seeking to expand their innovation journey to Hong Kong, into the GBA and beyond.
With a proven track record in life science start-ups, the VC firm will work with HKSTP to build an inbound stream of early and mid-stage ventures. The co-incubation programme aims to bring several strong-performing ventures to Hong Kong with a focus on biotech, but also on other deep-tech areas such as ESG, advanced materials, edutech and AI.
To date, as Hong Kong’s largest technological ecosystem, HKSTP has helped accelerate growth for hundreds of outstanding start-ups, raising over HK$80.2 billion in total funding in the past five years. During the 2021-2022 fiscal year, the total valuation of HKSTP’s acceleration programme start-ups grew over 250% while total investment funds raised have also doubled.
The partnership with the VC firm is the most recent of HKSTP’s series of strategic co-incubation programmes with global market leaders in the industry, investment, R&D and academia, which further elevate Hong Kong’s innovation and technology (I&T) ecosystem strength as a global springboard to success.
Riding on Hong Kong’s thriving biotech market and the city’s status as the world’s second-largest biotech fundraising hub, the co-incubation partnership also recognises HKSTP’s impact and success in building a vibrant biotech ecosystem in Hong Kong.
The Head of Incubation and Acceleration Programmes at HKSTP stated that the co-incubation partnership with an international player like the partnering firm validates Hong Kong’s unique and growing status as a global I&T hub helping international start-ups go beyond borders in their global growth journey.
She noted that with a pipeline of seed stage and series A start-up’s already in place, this proves the strength of the HKSTP innovation ecosystem and confirms that Hong Kong is open again for global business and an ideal launchpad for high-growth tech ventures seeking GBA, regional and global expansion.
The Managing Partner of the VC firm stated that the signing of this co-incubation agreement will allow the two parties to incubate and introduce promising global start-ups to scale their businesses in Asia. The firm will continue to leverage its unique cross-pacific networks and investment niches in transformative life science technologies to enrich Hong Kong’s innovation ecosystem with more ground-breaking technologies from North American start-ups.
The programme features co-incubation activities ranging from business development, consulting and training to mentoring sessions for qualified overseas start-ups. Participating entrepreneurs will also create proofs-of-concept and pilot initiatives.
The start-ups will tap into the investment and international business network reach of the firm while also formally joining the HKSTP innovation ecosystem to access product validation, commercialisation and go-to-market expertise from HKSTP and its wider network of partners.
Specialising in investing globally in science and technology-based start-ups, the VC firm has been active in Hong Kong and Asia with its specific focus on nurturing start-ups that aspire to expand to China and Asia. In 2019 it facilitated eight Canadian start-ups from prestigious start-up programmes to come to Hong Kong to gain deeper insights into strategic landing tactics and expansion into the Asian markets. This latest partnership with HKSTP has forged a new level of commitment to the Hong Kong I&T ecosystem.
Taiwan City Science Lab @ Taipei Tech demonstrated a series of cutting-edge AI applications. The lab exhibit advanced AI applications and their research and development results, such as the mobile robot, a AI robotic fish and Campus Rover.
The cross-disciplinary R&D and teaching laboratory aims to be a global technology and talent exchange platform. Massachusetts Institute of Technology (MIT) and Taipei Tech are coming together to jointly established City Science Lab @ Taipei Tech.
“Through developing advanced AI technology and big data system, we plan to make Taiwan the island of high-end technology,” said Yao Leehter, Taipei Tech Chair Professor of the Department of Electrical Engineering.
Yao indicated that Taipei Tech alums highly support the lab. The lab also collaborates with Kent Larson, the leader of MIT City Science Lab, the City Science Lab @ Taipei Tech aims to be an international platform for technology and talent exchange.
Taipei Tech adopts and jointly promotes with MIT to implement the Undergraduate Scientific Research Programme. Known as UROP, the programme provides sufficient resources for students and cultivates a new generation of scientific researchers. The collaboration was initially rolled out in 1969 by MIT’s first President, William Rogers.
For students to learn the most modern and state-of-the-art technology applications, the lab provides advanced equipment for R&D purposes, such as mobile robots. The agile, mobile robot can adapt to complex terrains and is equipped with LIDAR, infrared, and stereo vision sensors, which can draw 3D point cloud maps in real-time and detect and dodge obstacles. The mobile robot is used in decommissioned nuclear power plants, factories, construction sites, and offshore drilling oil platforms. Another mobile robot use case is for patrol, troubleshooting, and leak detection.
In addition, the lab also showcased its R&D results which are the AI robotic fish to the advanced instrumental equipment. The robotic fish is a streamlined robot designed to resemble a real fish. The fish robot comprehends and mimics the motion model of swimming fish through machine learning.
The robot can swim underwater in a simulated way. To perfectly mimic the fish movement, researchers have spent significant time collecting massive movement data from real fish, documenting, and analysing the swimming performance. Afterwards, they utilised AI technology and programme coding to control the motoric movement of the robotic fish.
The team then spent a year adjusting the robotic fish to make the swim movement look like a real fish. Machinery fish propulsion efficiency and excellent swimming performance are considered one of the most critical subjects in bionics.
“The robotic fish is useful for biological research and can also be used to carry out underwater operations and examine water quality,” said Yao.
Recently, the fish robot was involved in movie production. During the designing process, the production house team suggested adding a “cloth” on the fish with fish skin and fish scale to make it more lifelike. The company also came up with the idea to use a magnet to stick the fish scale on the body of the robotic fish. Taiwan Textile Research Institute and the local design research group joined the brainstorming and production process to finish the golden fish’s final look onscreen.
Moreover, The Campus Rover, developed by the team of Professor Yao in cooperation with the Taipei Tech Department of Industrial Design, demonstrated practical AI applications in real life. For example, campus or express hospital service can use the self-charging robot to ensure delivery safety.
Dr Andrew Lensen from the School of Engineering and Computer Science and Dr Marcin Betkier from the Law School are eager to ensure AI has a significant role in the justice system. The researchers based in New Zealand built an Artificial Intelligence (AI) algorithm that predicts the length of court sentences.
But the question that may arise is whether the AI algorithm is fair enough to hand down the sentences. In the current justice system, society trusts judges to hand down fair sentences to the accused based on their knowledge and experience.
But how about AI? Can it judge better because it can eliminate the potential for bias and discrimination? And can AI substitute the judge’s knowledge and experience with its ability to analyse and predict large amounts of data?
Dr Andrew is optimistic that AI can help better sentencing performance in the court. The confidence comes from the use of AI to predict some criminal behaviour, such as financial fraud. Even though he has not tested the algorithm model in the courtroom to deliver sentences, he is confident in his idea that AI can have a role in the sentencing process.
Dr Andrew says when judges handle a case in the court, they have some “inconsistency” when passing a sentence for a convicted criminal. The inconsistency comes from a judge’s consideration of individual circumstances, societal norms and the sense of justice.
The moral decision and the sense of humanity are based on their experience and even sometimes change the law. Each judge uses their prudence in deciding the outcome of a case. Another “undesirable inconsistency” occurs as bias or even extraneous factors like hunger. Research in Israeli courts has shown that the percentage of favourable decisions drops to nearly zero before lunch.
Judges must ensure similar offences should receive similar penalties in different courts with different judges. Usually, to enhance sentence consistency, the justice system has prepared guidelines as a reference. This inconsistency area is the pain point where AI can help.
How AI Helps Judges
Most modern AI is machine learning, a machine learning algorithm that could learn the patterns in a database to predict patterns and outcomes. Therefore, AI can provide better sentence suggestions after the computer algorithm learns the patterns within a set of data.
Dr Andrew’s machine learning algorithm trained with 302 New Zealand assault cases. The sentences in those cases are between 0 and 14.5 years of imprisonment. The model quantifies sentences based on certain phrases and terms when calculating the sentence. Then the algorithm built a model that can predict the length of a sentence for a new case and explain why it made certain predictions.
The relatively simple model worked quite well within the average error of the model in under 12 months. The model associates the words or phrases such as “sexual”, “young person”, “taxi” and “firearm” with longer sentences. While shorter sentences were given to cases with words like “professional”, “career”, “fire” and “Facebook”.
Beyond Decision Making
In the future, AI could be used as an evaluation tool for judges. They could understand better their sentencing decisions and perhaps remove extraneous factors. The models also have the potential to be used by lawyers, providers of legal technology and researchers, to analyse the sentencing and justice system. Moreover, AI also can be used for controversial sentences and help create some transparency around controversial decisions.
Of course, the use of AI in the justice system may still be controversial. Most people are still keen that the final assessments and decisions on justice and punishment should be made by human experts. But maybe it is the right time need to give an opportunity to an “algorithm” or “AI” in the judicial system for the common good.
New Zealand is not the only country that explores the use of Artificial Intelligence (AI) in courtrooms. Several other countries like China and Malaysia have done similar things. In China, robot judges can decide on a small case. While in Malaysia, some courts have used AI to recommend sentences for offences such as drug possession.
The Counter Ransomware Task Force (CRTF), which was formed to bring together Singapore Government agencies from various domains to strengthen Singapore’s counter-ransomware efforts, has issued its report.
Singapore’s efforts to promote a resilient and secure cyber environment, both domestically and internationally, to combat the rising ransomware threat are guided by the recommendations in the CRTF report.
According to David Koh, Commissioner of Cybersecurity, Chief Executive of CSA and Chairman of the CRTF, ransomware poses a threat to both businesses and individuals. Economically, socially, and even in terms of national security, it can be detrimental. Both internationally and across domains, ransomware is a problem.
“It requires us to collaborate and draw on our knowledge in a variety of fields, including cybersecurity, law enforcement, and financial supervision. It also necessitates that we work with like-minded international partners to identify a common problem and develop solutions,” David explains.
He exhorts businesses and individuals to contribute as well, strengthening the nation’s overall defence against the ransomware scourge.
Cybercriminals use malicious software known as ransomware. When ransomware infects a computer or network, it either locks the system or encrypts the data on it. For the release of the data, cybercriminals demand ransom money from their victims.
A vigilant eye and security software are advised to prevent ransomware infection. Following an infection, malware victims have three options: either they can pay the ransom, attempt to remove the malware, or restart the device.
Extortion Trojans frequently employ the Remote Desktop Protocol, phishing emails, and software vulnerabilities as their attack vectors. Therefore, a ransomware attack can target both people and businesses.
The ransomware threat has significantly increased in scope and effect, and it is now a pressing issue for nations all over the world, including Singapore.
The fact that attackers operate internationally to elude justice makes it a global issue. Ransomware has created a criminal ecosystem that offers criminal services ranging from unauthorised access to targeted networks to money laundering services, all fed by illicit financial gains.
Singapore must approach the ransomware issue as a cross-border and cross-domain problem if it is to effectively combat the ransomware threat.
Other nations should adopt comparable domestic measures to coordinate their financial regulatory, law enforcement, and cybersecurity agencies to combat the ransomware issue and promote international cooperation.
Three significant results were the culmination of the CRTF’s work. For government agencies to collaborate and create anti-ransomware solutions, they first developed a comprehensive understanding of the ransomware kill chain.
Second, it examined Singapore’s stance on paying ransom to cybercriminals. Third, for the government to effectively combat ransomware, the CRTF suggested the following policies, operational plans, and capabilities under four main headings:
Pillar 1: Enhances the security of potential targets (such as government institutions, critical infrastructure, and commercial organisations, especially small and medium-sized businesses) to make it more difficult for ransomware attackers to carry out successful attacks.
Pillar 2: To lower the reward for ransomware attacks, disrupt the ransomware business model.
Pillar 3: To prevent ransomware attack victims from feeling pressured to pay the ransom, which feeds the ransomware industry, support recovery.
Pillar 4: Assemble a coordinated international strategy to combat ransomware by cooperating with international partners. Singapore should concentrate on and support efforts to promote international cooperation in three areas that have been identified by the CRTF: law enforcement, anti-money laundering measures, and discouraging ransom payments.
The appropriate government agencies will take the recommendations of the CRTF under consideration for additional research and action.