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Araz Taeihagh

469C Bukit Timah Road
Singapore, , 259772
D.Phil. Oxon

D.Phil. Oxon

Araz Taeihagh

  • Welcome
  • About
  • Publications
  • Edited Special Issues
  • Research
  • Joining Policy Systems Group
  • Teaching
  • Blog
  • Contact

CALL FOR PAPERS - ICPP6 T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES

December 17, 2022 Araz Taeihagh

CALL FOR PAPERS

T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES

https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/platform-governance-in-turbulent-times/1428

Abstract submission deadline: 31 January 2023

 

GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE

Platforms significantly increase the ease of interactions and transactions in our societies. Crowdsourcing and sharing economy platforms, for instance, enable interactions between various groups ranging from casual exchanges among friends and colleagues to the provision of goods, services, and employment opportunities (Taeihagh 2017a). Platforms can also facilitate civic engagements and allow public agencies to derive insights from a critical mass of citizens (Prpić et al. 2015; Taeihagh 2017b). More recently, governments have experimented with blockchain-enabled platforms in areas such as e-voting, digital identity and storing public records (Kshetri and Voas, 2018; Taş & Tanrıöver, 2020; Sullivan and Burger, 2019; Das et al., 2022).

How platforms are implemented and managed can introduce various risks. Platforms can diminish accountability, reduce individual job security, widen the digital divide and inequality, undermine privacy, and be manipulated (Taeihagh 2017a; Loukis et al. 2017; Hautamäki & Oksanen 2018; Ng and Taeihagh 2021). Data collected by platforms, how platforms conduct themselves, and the level of oversight they provide on the activities conducted within them by users, service providers, producers, employers, and advertisers have significant consequences ranging from privacy and ethical concerns to affecting outcomes of elections. Fake news on social media platforms has become a contentious public issue as social media platforms offer third parties various digital tools and strategies that allow them to spread disinformation to achieve self-serving economic and political interests and distort and polarise public opinion (Ng and Taeihagh 2021). The risks and threats of AI-curated and generated content, such as a Generative Pre-Trained Transformer (GPT-3) (Brown et al., 2020) and generative adversarial networks (GANs) are also on the rise (Goodfellow et al., 2014) while there are new emerging risks due to the adoption of blockchain technology such as security vulnerabilities, privacy concerns (Trump et al. 2018; Mattila & Seppälä 2018; Das et al. 2022).

The adoption of platforms was further accelerated by COVID-19, highlighting their governance challenges. The rise of misinformation and digital health technologies have created heated debates around trust and privacy on these platforms, and the term ‘misinfodemic’, though coined in 2018, is now used to refer to misinformation related to the pandemic (Marrelli, 2020). The US Sub-Committee on Antitrust, Commercial and Administrative Law recently released its report investigating competition in digital markets (US Antitrust Report, 2020). The report also finds that due to the absence of competition, dominant tech firms bear little financial consequence when misinformation is promoted online, and content moderation of unlawful and harmful content hosted on such platforms is an ongoing issue.
 
With this backdrop, countries worldwide have started looking into regulating technology platforms more seriously. This panel will present papers discussing the various dimensions of the use of digital platforms and their implications for policy-making.

CALL FOR PAPERS

This panel welcomes papers that explore the challenges of platform governance. Key research questions to be addressed are:
 
·       Theoretical and empirical papers using various qualitative and quantitative approaches from disciplines that provide insights about the implications of the rapid adoption of these platforms and their effect on policy-making.

·       The emerging theoretical, conceptual and empirical approaches to understanding new and unconventional regulatory approaches and governance strategies, as well as lessons learnt from the public and private organisations' standard-setting activities and development of guidelines for managing online platforms

·       Theoretical, conceptual, or empirical studies that evaluate the effects of platforms on public service delivery and analyse how these platform activities affect the perceived political legitimacy of governments.

·       Analysis of the roles of different actors in influencing policy outcomes through participation in platforms and at different stages of policy making.

·       Analysis of the role of tech companies in addressing and/or exacerbating the governance challenges of platforms.

·       Examining the different types of platform governance structures (e.g., in blockchain), their risks and unintended consequences, and the organisational, administrative, and institutional changes to accommodate these platforms.

·       Cross-national and cross-sectoral studies and theoretically informed case studies examining different types of platforms (e.g., social media, blockchain, sharing economy, crowdsourcing) are especially welcome.

 

Abstract submission deadline (up to 500 words) 31 January 2023

 

REFERENCES
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, … Amodei, D. (2020). Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems, 33.

Das, S., Rout, J., & Mishra, M. (2022). Blockchain Technology: Applications and Open Issues. In 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (pp.1-6). IEEE.

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Nets. Proceedings of the 27th International Conference on Neural Information Processing Systems – Vol(2):2672–2680.

Hautamäki, A., & Oksanen, K. (2018). Digital Platforms for Restructuring the Public Sector. In Collaborative Value Co-creation in the Platform Economy (pp.91-108). Springer, Singapore.

Kshetri, N., & Voas, J. (2018). Blockchain-enabled e-voting. Ieee Software, 35(4):95-99.

Loukis, E., Charalabidis, Y., & Androutsopoulou, A. (2017). Promoting open innovation in the public sector through social media monitoring. Government Information Quarterly, 34(1):99-109.

Marrelli, M. (2020). Exploring COVID-19 in Emerging Economies: Announcing the 2020 Global Misinfodemic Report. Meedan

Mattila, J., & Seppälä, T. (2018). Distributed Governance in Multi-sided Platforms: A Conceptual Framework from Case: Bitcoin. In Collaborative Value Co-creation in the Platform Economy (pp.183-205). Springer, Singapore.

Ng, L. H., & Taeihagh, A. (2021). How does fake news spread? Understanding pathways of disinformation spread through APIs. Policy & Internet, 13(4):560-585.

Prpić, J., Taeihagh, A., & Melton, J. (2015). The fundamentals of policy crowdsourcing. Policy & Internet, 7(3):340-361.

Sullivan, C., & Burger, E. (2019). Blockchain, digital identity, e-government. In Business Transformation through Blockchain (pp.233-258). Palgrave Macmillan, Cham.

Taeihagh, A. (2017a). Crowdsourcing, Sharing Economies and Development, Journal of Developing Societies, Vol 33(2):191–222.

Taeihagh, A. (2017b). Crowdsourcing: a new tool for policy-making? Policy Sciences Journal, 50(4):629-647

Taş, R., & Tanrıöver, Ö. Ö. (2020). A systematic review of challenges and opportunities of blockchain for E-voting. Symmetry, 12(8):1328.

Trump, B. D., Wells, E., Trump, J., & Linkov, I. (2018). Cryptocurrency: Governance for what was meant to be ungovernable. Environment Systems and Decisions, 38(3):426-430.

US Subcommittee on Antitrust, Commercial and Administrative Law (2020). Investigation of Competition in Digital Markets. Majority Staff Report and Recommendations.  

In call for papers, Cities, Conference, Governance, Policy Design, Research, Technology Tags Policy Design, Public Policy, Platforms, Governance, Governance of technology, regulation and governance, Conference, Call for Papers

CALL FOR PAPERS - ICPP6 T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRUST BUILDING AND RESPONSIBLE USE OF AI, AUTONOMOUS SYSTEMS AND ROBOTICS

December 17, 2022 Araz Taeihagh

CALL FOR PAPERS

 

T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRUST BUILDING AND RESPONSIBLE USE OF AI, AUTONOMOUS SYSTEMS AND ROBOTICS

 

https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/governance-and-policy-design-lessons-for-trust-building-and-responsible-use-of-ai-autonomous-systems-and-robotics/1390

Abstract submission deadline: 31 January 2023

GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE

Artificial intelligence (AI), Autonomous Systems (AS) and Robotics are key features of the fourth industrial revolution, and their applications are supposed to add $15 trillion to the global economy by 2030 and improve the efficiency and quality of public service delivery (Miller & Sterling, 2019). A McKinsey global survey found that over half of the organisations surveyed use AI in at least one function (McKinsey, 2020). The societal benefits of AI, AS, and Robotics have been widely acknowledged (Buchanan 2005; Taeihagh & Lim 2019; Ramchurn et al. 2012), and the acceleration of their deployment is a disruptive change impacting jobs, the economic and military power of countries, and wealth concentration in the hands of corporations (Pettigrew et al., 2018; Perry & Uuk, 2019).

However, the rapid adoption of these technologies threatens to outpace the regulatory responses of governments around the world, which must grapple with the increasing magnitude and speed of these transformations (Taeihagh 2021). Furthermore, concerns about these systems' deployment risks and unintended consequences are significant for citizens and policymakers. Potential risks include malfunctioning, malicious attacks, and objective mismatch due to software or hardware failures (Page et al., 2018; Lim and Taeihagh, 2019; Tan et al., 2022). There are also safety, liability, privacy, cybersecurity, and industry risks that are difficult to address (Taeihagh & Lim, 2019) and The opacity in AI operations has also manifested in potential bias against certain groups of individuals that lead to unfair outcomes (Lim and Taeihagh 2019; Chesterman, 2021).

These risks require appropriate governance mechanisms to be mitigated, and traditional policy instruments may be ineffective due to insufficient information on industry developments, technological and regulatory uncertainties, coordination challenges between multiple regulatory bodies and the opacity of the underlying technology (Scherer 2016; Guihot et al. 2017; Taeihagh et al. 2021), which necessitate the use of more nuanced approaches to govern these systems. Subsequently, the demand for the governance of these systems has been increasing (Danks & London, 2017; Taeihagh, 2021).

CALL FOR PAPERS

Many studies have highlighted the urgency for and the challenges of governing AI, AS and Robotics (Firlej and Taeihagh 2021; He et al. 2020; Tan and Taeihagh 2021; Tan et al. 2021; Radu 2021; Taeihagh 2021). In this panel, we are interested in governance and policy design lessons for Responsible Use and Building  trust in AI, AS and Robotics by answering the following key research questions:

 

·      What governance and policy design lessons have been learnt so far in addressing risks and unintended consequences of adopting AI, AS and Robotics in different domains and geographies?

 ·      What are the challenges of responsible use of AI, AS and Robotics, particularly in the public sector?

 ·      What are the emerging theoretical, conceptual and empirical approaches to understanding new and unconventional regulatory approaches, governance strategies, institutions and discourses to govern these systems?

 ·      What lessons have been learnt so far from the public and private organisations' standard setting and development of guidelines in managing these systems?

 ·      How can the public and expert viewpoints be better considered for the regulation and governance of AI, AS, and Robotics to increase trust in AI?

 ·    What is the role of governments in promoting trustworthy AI and building trust in AI?

 

Abstract submission deadline (up to 500 words) 31 January 2023

 

REFERENCES

 Buchanan, B. G. (2005). A (very) brief history of artificial intelligence. Ai Magazine, 26(4), 53.

 Chesterman, S. (2021). Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity. The American Journal of Comparative Law, 69(2), 271-294.

Danks, D. (2019). The value of trustworthy AI. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 521–522.

 Guihot, M., Matthew, A. F., & Suzor, N. P. (2017). Nudging Robots: Innovative Solutions to Regulate Artificial Intelligence. Vand. J. Ent. & Tech. L., 20, 385.

 He, H., Gray, J., Cangelosi, A., Meng, Q., McGinnity, T. M., & Mehnen, J. (2020). The Challenges and Opportunities of Artificial Intelligence for Trustworthy Robots and Autonomous Systems. 2020 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE), 68–74.

 Lim, H. S. M., & Taeihagh, A. (2019). Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities. Sustainability, 11(20), 5791.

 McKinsey. (2020, November 17). Global survey: The state of AI in 2020 | McKinsey.https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020

 Miller, H., & Stirling, R. (2019) The Government Artificial Intelligence (AI) Readiness Index Report 2019.https://www.oxfordinsights.com/ai-readiness2019

 Page, J., Bain, M., & Mukhlish, F. (2018, August). The risks of low level narrow artificial intelligence. In 2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR) (pp. 1-6). IEEE.

 Perry, B., & Uuk, R. (2019). AI governance and the policymaking process: key considerations for reducing AI risk. Big Data and Cognitive Computing, 3(2), 26.

 Pettigrew, S., Fritschi, L., & Norman, R. (2018). The potential implications of autonomous vehicles in and around the workplace. International Journal of Environmental Research and Public Health, 15(9), 1876.

 Radu, R. (2021). Steering the governance of artificial intelligence: national strategies in perspective. Policy and Society, 40(2), 178-193.

 Ramchurn, S. D., Vytelingum, P., Rogers, A., & Jennings, N. R. (2012). Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence. Communications of the ACM, 55(4), 86-97.

 Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harv. JL & Tech., 29, 353.

Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137-157.

 Taeihagh, A., & Lim, H. S. M. (2019). Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transport reviews, 39(1), 103-128.

 Taeihagh, A., Ramesh, M., & Howlett, M. (2021). Assessing the regulatory challenges of emerging disruptive technologies. Regulation & Governance, 15(4), 1009-1019.

Tan, S.Y., & Taeihagh, A. (2021). Adaptive governance of autonomous vehicles: Accelerating the adoption of disruptive technologies in Singapore. Government Information Quarterly, 38(2), 101546.

Tan, S.Y., Taeihagh, A., & Tripathi, A. (2021). Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care. Technological Forecasting and Social Change, 167, 120686.

 Tan, S., Taeihagh, A., & Baxter, K. (2022). The Risks of Machine Learning Systems. arXiv preprint arXiv:2204.09852.

In call for papers, Conference, Technology, Research, Policy Design, Governance, Cities Tags Policy Design, Public Policy, Governance, Governance of technology, regulation and governance, Conference, Technology

CALL FOR PAPERS - ICPP6 T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE

December 17, 2022 Araz Taeihagh

CALL FOR PAPERS

T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE

https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/exploring-technologies-for-policy-advice/1295

 

Abstract submission deadline: 31 January 2023

 

GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE

Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist – universities, professional policy analysts, think tanks, policy labs, etc. –  to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however. many critical ssues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted and influence policy development and implementation. These long-standing issues have been joined recently by use of Artificial Intelligence and Big data, and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. This panel seeks to explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological and other issues surrounding its use.

CALL FOR PAPERS

You are invited to submit proposals for papers on different aspects of emerging technoglies for assisting in generation and dissemination of policy advice. The  panel will explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological, political, technical and other issues surrounding its use. Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist  – universities, professional policy analysts, think tanks, policy labs, etc. –  to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however, many critical issues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted to influence policy development and implementation. These long-standing  issues have been joined recently by the use of Artificial Intelligence and Big data and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. Papers on both longer-term and more recent issues surrounding policy advice, and related topics, are welcome.

Abstract submission deadline (up to 500 words) 31 January 2023

In Conference, Policy Design, Technology, call for papers Tags Policy Design, Public Policy, Technology, Conference, Call for Papers

CALL FOR PAPERS – ICPP T13P04 Panel on Governance of AI and the Special Issue on Governance of AI and Robotics

December 20, 2018 Araz Taeihagh
Taeihagh Governance of AI and Robotics. ICPP4.jpg


4rd International Conference on Public Policy (ICPP4)

June 26-28, 2019 – Montreal, Canada

 

 CALL FOR PAPERS – ICPP Panel on Governance of AI and the Special Issue on Governance of AI and Robotics 

 

T13P04 - Governing Artificial Intelligence and Autonomous Systems

http://www.ippapublicpolicy.org/conference/icpp4-montreal-2019/panel-list/10/panel/governing-artificial-intelligence-and-autonomous-systems/860

 

Panel Chair and Special Issue Editor: Araz Taeihagh, LKYSPP NUS  

 

Abstract submission deadline: 30 January 2019

 

Developments in Artificial Intelligence (AI) and Autonomous Systems (AS) offer various benefits that will revolutionise all aspects of society, ranging from search algorithms for online advertising (Goodfellow et al. 2016), signal processing (Karaboga et al. 2014), credit scoring (Tsai & Wu 2008; Brown & Mues 2012), medical diagnosis (Russell & Norvig 2016; Amato et al. 2013), autonomous vehicles (Fagnant & Kockelman 2015; Milakis et al. 2017; Taeihagh & Lim 2018), robotic medical assistants (Stahl and Coeckelbergh 2016) to autonomous weapon systems in warfare (Krishnan 2016). The rapid adoption of these technologies threaten to outpace the regulatory responses of governments around the world, which must grapple with the increasing magnitude and speed of these transformations. 
 
The societal benefits of AI and AS have been widely acknowledged (Buchanan 2005; Taeihagh & Lim 2018; Ramchurn et al. 2012), but these technologies introduce risks and unintended consequences. New risks include and are not limited to unemployment (Acemoglu & Restrepo 2018; Frey & Osborne 2017; Peters 2017; Osoba & Welser IV 2017), safety risks (Taeihagh & Lim 2018; Kalra & Paddock 2016), privacy risks (Russell et al. 2015; Lim & Taeihagh 2018; Litman 2017), liability risks (Marchant & Lindor 2012; Čerka et al. 2015; Taeihagh & Lim 2018) and inequality (Makridakis 2017; Acemoglu & Restrepo 2018), which require appropriate governance mechanisms to be mitigated.  Traditional policy instruments may be ineffective due to insufficient information on industry developments, technological and regulatory uncertainties, coordination challenges between multiple regulatory bodies (Guihot et al. 2017), and the opacity of the underlying technology (Scherer 2016), which necessitate the use of more nuanced approaches to govern AI and AS. 

Many studies have highlighted the urgency for and the challenges of governing AI and AS (Arkin 2009; Simshaw et al. 2015; Guihot et al. 2017; Scherer 2016; Krishnan 2016; Taeihagh & Lim 2018; Lim & Taeihagh 2018), which need to be addressed by answering the following key research questions:

 

·     What are the types of unintended consequences and risks that can arise from the adoption of AI and AS in different domains (e.g. ICT, transport, energy, public sector, healthcare, water management etc.) and how can they be effectively managed and governed?

·     How can AI and AS be responsibly deployed by public administrators? 

·     What are the implications of AI and AS on incumbent industries and how can the relationship between these technologies and incumbent industries be reconciled?

·     Theoretical, conceptual and empirical approaches to understand new and unconventional regulatory approaches, governance strategies, institutions and discourses to govern risks arising from AI and AS. 

·     What types of standards or guidelines have been developed in industry and governments to manage the risks arising from AI and AS? 

·     How are risks arising from AI and AS allocated among different stakeholders vertically through the value chain (manufacturers, third-party service providers, consumers) and horizontally across different domains (transport, healthcare, financial sector, public agencies, ICT, education etc.)?

·     Single and comparative case studies of governance responses across different countries, regions and domains to address the risks arising from AI and AS.

 

ICPP 2019 Abstract submission deadline - 30 January 2019

 

I hope you will join us for a stimulating set of presentations at ICPP4. A few papers from this conference panel will be considered along with the already selected papers for the special issue on governance of AI and Robotics to be published in the Policy and Society journal, the only fully open-access no-APC ISI-ranked policy journal. The special issue addresses these and other relevant aspects of governing AI including emerging governance approaches to AI, policy capacity building, as well as exploring legal and regulatory challenges of AI and Robotics.

 

Key dates:

ICPP Abstract Submission 30 January 2019

Full first draft Submission for consideration for the special issue 1stof May 2019

ICPP Conference June 26-28, 2019

Submission of the selected papers to the journal by end of Summer 2019

 

——

Araz Taeihagh (DPhil, Oxon)
National University of Singapore 

469B Bukit Timah Road
Li Ka Shing Building, Level 2, #02-10
Singapore 259771

 

Email:    spparaz@nus.edu.sg

              araz.taeihagh@new.oxon.org
Twitter:  @arazTH

Website: www.taeihagh.com

 

 

References:
 
Acemoglu, D., & Restrepo, P. (2018). Artificial Intelligence, Automation and Work (No. w24196). National Bureau of Economic Research.
 
Amato, F., López, A., Peña-Méndez, E. M., Vaňhara, P., Havel, J., Sánchez, C. L., ... & Dridi, I. (2013). 1. Artificial neural networks in medical diagnosis. Journal of Applied Biomedicine, 11(2), 47-113.
 
Arkin, R. (2009). Governing lethal behaviour in autonomous robots. Chapman and Hall/CRC.
 
Brown, I., & Mues, C. (2012). An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Systems with Applications, 39(3), 3446-3453.
 
Buchanan, B. G. (2005). A (very) brief history of artificial intelligence. Ai Magazine, 26(4), 53.
 
Čerka, P., Grigienė, J., & Sirbikytė, G. (2015). Liability for damages caused by artificial intelligence. Computer Law & Security Review, 31(3), 376-389.
 
Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181.
 
Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280.
 
Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep learning (Vol. 1). Cambridge: MIT Press.
 
Guihot, M., Matthew, A. F., & Suzor, N. P. (2017). Nudging Robots: Innovative Solutions to Regulate Artificial Intelligence. Vand. J. Ent. & Tech. L., 20, 385.
 
Kalra, N., & Paddock, S. M. (2016). Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice, 94, 182-193.
 
Karaboga, D., Gorkemli, B., Ozturk, C., & Karaboga, N. (2014). A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review, 42(1), 21-57.
 
Krishnan, A. (2016). Killer robots: legality and ethicality of autonomous weapons. Routledge.
 
Lim, H. S. M., & Taeihagh, A. (2018). Autonomous Vehicles for Smart and Sustainable Cities: An In-Depth Exploration of Privacy and Cybersecurity Implications.
 
Litman, T. (2017). Autonomous vehicle implementation predictions. Victoria, Canada: Victoria Transport Policy Institute.
 
Marchant, G. E., & Lindor, R. A. (2012). The coming collision between autonomous vehicles and the liability system. Santa Clara L. Rev., 52, 1321.
 
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60.
 
Milakis, D., Van Arem, B., & Van Wee, B. (2017). Policy and society related implications of automated driving: A review of literature and directions for future research. Journal of Intelligent Transportation Systems, 21(4), 324-348.
 
Osoba, O. A., & Welser IV, W. (2017). The Risks of Artificial Intelligence to Security and the Future of Work. Santa Monica, Calif.: RAND Corp, 7.
 
Peters, M. A. (2017). Technological unemployment: Educating for the fourth industrial revolution, Educational Philosophy and Theory, 49:1, 1-6.
 
Ramchurn, S. D., Vytelingum, P., Rogers, A., & Jennings, N. R. (2012). Putting the'smarts' into the smart grid: a grand challenge for artificial intelligence. Communications of the ACM, 55(4), 86-97.
 
Russell, S., Dewey, D., & Tegmark, M. (2015). Research priorities for robust and beneficial artificial intelligence. Ai Magazine, 36(4), 105-114.
 
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.
 
Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harv. JL & Tech., 29, 353.
 
Simshaw, D., Terry, N., Hauser, K., & Cummings, M. L. (2015). Regulating healthcare robots: Maximizing opportunities while minimising risks. Rich. JL & Tech., 22, 1.
 
Stephan, K. D., Michael, K., Michael, M. G., Jacob, L., & Anesta, E. P. (2012). Social implications of technology: The past, the present, and the future. Proceedings of the IEEE, 100(Special Centennial Issue), 1752-1781.
 
Taeihagh, A., & Lim, H. S. M. (2018). Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transport Reviews, 1-26.
 
Tsai, C. F., & Wu, J. W. (2008). Using neural network ensembles for bankruptcy prediction and credit scoring. Expert systems with applications, 34(4), 2639-2649.

 

In Conference, Governance, Research, Technology Tags Call for Papers, Conference, Technology, Governance of technology, Public Policy

Call for papers - Third Meeting of Public Policy Network (PPN) Singapore, 1 February 2019

November 20, 2018 Araz Taeihagh
e51a8d_68419cb5202d4b4d82ad66100783ad17~mv2_d_3840_2160_s_2.jpg

Third Meeting of Public Policy Network

Singapore, 1 February 2019

 

 

On behalf of the organizing committee, we are pleased to announce that the call for abstracts for the Third Annual Meeting of the Singapore-based Public Policy Network has been extended to December 1, 2018.  Based on the model of similar successful public policy networks around the world, the Singapore PPN provides a venue for faculty at Singapore’s post-secondary institutions interested in topics of public policy or comparative politics to present their work and engage in discussions with colleagues from around the region.

 

The 2019 workshop will be held on February 1, 2019 at the School of Social Sciences (SOSS) at Singapore Management University (SMU).

 

Although based in Singapore, the workshop is open to papers on all topics within the policy sciences and also more broadly to comparative politics and is not restricted to only those directly related to Singapore. Proposals for papers may deal with any issue of interest to scholars looking at local, national and international events in the region and elsewhere, or with theoretical, conceptual or methodological subjects related generally to policy studies.

 

Abstracts of up to 300 words, with paper title and author’s affiliation and contact details should be submitted via email to: 

 

singaporepublicpolicynet@gmail.com

 

Please note that submissions now close on Dec 1, 2018. (Deadline extended)

 

Participants to the workshop are responsible for their travel to the event venue.

More information on the PPN is available on its website at:

 

http://www.publicpolicynet.com

 

We hope you will join us for a stimulating set of presentations in February, 2019.

 

Ishani Mukherjee, SMU

Araz Taeihagh, NUS

Michael Howlett, SFU

Meng-Hsuan Chou, NTU

PPN-Singapore Organizing Committee

_____________________________________

 

 

Key dates

September 15, 2018 Call for papers opens
December 1, 2018 Call for papers closes

December 15, 2018 Announcement of accepted papers
January 15, 2019: Registration opens
February 1, 2019: PPPN-Singapore 2019

 

In Singapore, Research, Governance, Conference Tags Call for Papers, Public Policy, Conference

Call for Papers - PPN 2018 in Singapore

October 22, 2017 Araz Taeihagh
PPN 2016 was held at NTU

PPN 2016 was held at NTU

Call for Papers - PPN 2018 in Singapore

 

Dear Colleagues:

 

On behalf of the organising committee, we are pleased to announce the call for papers for the Second Annual Meeting of the Singapore-based Public Policy Network. Based on the model of the Australian and other similar successful public policy networks around the globe, the Singapore PPN provides a venue for faculty at Singapore’s post-secondary institutions interested in public policy to present their work and engage in discussions with colleagues from around the region.

 

This year’s conference will be held on Monday 29th of January at the Lee Kuan Yew School of Public Policy at the Bukit Timah campus of the National University of Singapore.

 

Although based in Singapore, the conference is open to papers, roundtable and panel proposals on all topics within the policy sciences and is not restricted to subjects related to Singapore. 

 

Proposals for papers and panels may deal with any issue or topic of interest to policy scholars dealing with local, national and international events in the region and elsewhere, or with theoretical, conceptual or methodological subjects related to policy studies.

 

Abstracts of up to 300 words, with paper title and author’s affiliation and contact details should be submitted via email to: 

 

singaporepublicpolicynet@gmail.com

 

Please note submissions close Nov 30, 2017.

 

More information on the conference and how to register is available on the PPN website at:

 

http://www.publicpolicynet.com

 

Please join us for a stimulating set of presentations in January.

 

Araz Taeihagh, SMU

Michael Howlett, NUS

Meng-Hsuan Chou, NTU

PPN Conference Organizing Committee

_____________________________________

 

Key dates

October 1, 2017 Call for papers opens
November 30, 2017 Call for papers closes

December 15, 2017 Announcement of accepted papers
January 1, 2018: Conference registration opens
January 29, 2018: PPN conference

 

In Research, Singapore, Conference Tags Call for Papers, Public Policy, Conference