Centre for Internet and Society

Artificial Intelligence for Growth: Leveraging AI and Robotics for India's Economic Transformation

Admin — 2018-05-05T09:08:07Z

Amber Sinha took part in the second international conference organized by ASSOCHAM at Hotel Shangri-La in New Delhi on April 27, 2018.

Keynote Address

12.15 p.m. - 12.30 p.m.: Shri Gopalakrishnan S., Joint Secretary, Ministry of Electronics and IT, Government of India

Special Address

12.30 p.m. - 12.45 p.m.: Dr. Pushpak Bhattacharyya, Director and Professor, Computer Science and Engg, IIT Patna and Chairman, BIS Committee for Standardisation in Artificial Intelligence

Panel Discussion

Session Moderator

12.45 p.m. - 1.40 p.m.: Shri Sudipta Ghosh, India Leader, Data and Analytics, PwC

Panelists

Shri Amber Sinha, Senior Programme Manager, Centre for Internet and Society
Shri Utpal Chakraborty, Lead Architect - AI, L&T Infotech
Shri Atul Rai, CEO & Co-Founder, Staqu Technologies
Shri Prabhat Manocha, IBM

For more details visit https://cis-india.org/internet-governance/news/artificial-intelligence-for-growth-leveraging-ai-and-robotics-for-indias-economic-transformation

Roundtable Discussion on “The Future of AI Policy in India” @ ICRIER

Admin — 2019-07-10T01:46:36Z

Radhika Radhakrishnan, attended a Roundtable Discussion on “The Future of AI Policy in India” organized by the Indian Council for Research on International Economic Relations (ICRIER) in New Delhi on July 1, 2019, to arrive at actionable recommendations for promotion of AI in India.

Radhika's inputs primarily focused on - capacity and skilling for AI adoption in India, sectoral opportunities for the adoption of AI, regulation of explanations for AI, fairness and bias in AI models, and actionable recommendations for government priorites for AI policies in India.

Concept Note

India’s Artificial Intelligence moment is truly here and now. At a time when a diverse range of applications based on AI are being developed, pushing its frontier further into uncharted realms of business and society, Indian policy makers are contemplating not just AI’s potential for growth and social transformation, but also its proclivity to create divides and inequality. Our study attempts to understand the impacts of AI and trace the pathways to realizing it.

AI’s transformational potential stems from its ability to lend itself to a diverse range of applications across a range of sectors. One can witness AI based applications in traditional spheres of manufacturing, which are transforming quality control, production lines, and supply chain management, and in services, which are creating personalized product offerings and high-quality customer engagement. AI applications are also common in sectors such as agriculture that have taken a back seat in technological innovations in the post-industrial world. AI also demonstrates potential for impacting developmental challenges by responding to societies’ immediate demand for healthcare, education and expanding access to finance and banking.

The consequences of AI diffusion stem from AI’s pervasiveness across society, its ability to trigger innovation, and its tendencies to undergo transformation and evolution. These are typical characteristics of a class of technologies that can be found across history, the emergence and diffusion of which have enabled the wealth of nations. These are called General Purpose Technologies (GPT). Technologies such as steam engine, electricity, computers, semi-conductors, and more recently the Internet, can all be conceived as belonging to the GPT class of technologies. Our study is based on the understanding that the implications of AI can be best understood by viewing AI as a GPT.

Historically, the economic impacts of GPTs have not been immediate but follow after its diffusion across the economy, i.e. over a period of time. There are two reasons that explain this phenomenon: firstly, in early phases of technology diffusion, an economy diverts part of its resources from productive activities to costly activities aimed at enabling the GPT. For instance, organizations adopting computers must also invest in training employees or hire computer scientists, re-arrange production activities or organizational structures to accommodate computer driven work-flows, all of which are costly economic activities. Secondly, it is only after the GPT is diffused and widely used in the economy that the statistics measuring GDP start counting and fully measuring the GPT.

Empirical research on GPTs such as AI, including ours, means confronting the challenge of measurement. Estimates on the economic impact of AI are bound to be imprecise because data on AI’s adoption is not available or adequately reflected in the data used to compute economic growth, at least not yet. Measuring the economic impact of AI is also difficult because of the magnitude of indirect effects on productivity that GPTs trigger. It is not therefore uncommon that studies on GPTs, while attempting to estimate their economic impacts, also engage in in-depth case studies and historical analysis of its impacts.

Our findings show unambiguous and positive impacts of AI on firm level productivity across sectors, although there is variation in the magnitude of positive impacts across sectors. We complement our findings with case studies that cover different firms that are developing AI based applications across a range of sectors to understand the underlying firm-level capabilities that drive innovations in AI based applications. Our study leads us towards high-level policy challenges facing organizations, civil society and government, and which when addressed enable the full realization of economic growth triggered by AI.

However, our conclusions are a step-away from actionable policy recommendations. Given your experience with and within India’s AI based ecosystem, we invite you to deliberate and recommend insights and strategies that can help us arrive at concrete and practicable policy recommendations towards achieving a growth and welfare enhancing AI-based ecosystem in India.

Proposed Questions for Deliberation

In which sectors do we observe an immediate opportunity for the adoption of AI? What could be the nature of these applications?
In which areas of AI development and application is there an immediate opportunity for governments, industry and academia to collaborate?
What should be the Government’s top five priorities in the next one year to catalyse the growth of AI in India?
How and what agencies of the Government should be involved in implementation of India’s National AI mission?
What aspects of the Government’s capacity requires enhancement to adapt to challenges of a growing Indian AI based ecosystem?
What measures can the Government take to regulate for AI safety and ethical use of AI?
What are the policy measures that the Government can undertake to safeguard against the consequences of AI based inequality?

For more details visit https://cis-india.org/internet-governance/news/roundtable-discussion-on-201cthe-future-of-ai-policy-in-india201d-icrier

Deepfakes: Algorithms at war, trust at stake

Rajmohan Sudhakar — 2019-07-21T15:42:12Z

A case in point is the video that surfaced of an Indian journalist not so long ago.

The article by Rajmohan Sudhakar was published in Deccan Herald on July 14, 2019. Elonnai Hickok was quoted.

Now machines are learning to manipulate imagery. That is a real worry. Deepfakes for instance. They are AI-manipulated videos achieved by machine learning. Products of the humongous volume of images and videos now available online.

The danger is, this imagery could be yours or mine. Imagine artificial intelligence of neural networks creating convincing identities of our real counterparts, and starts posting videos. Absurd.

“Society has grappled with spurious and specious content in media over time. Media has been modified for various reasons, usually by those with access to significant resources and influence in the past,” says Elonnai Hickok, COO of the Bengaluru-based Centre for Internet and Society.

From an AI and machine learning perspective, deepfakes could be understood by what is known as GAN -- generative adversarial networks, essentially two algorithms at war. One is a generator, the other a discriminator. They compete with each other based on set inputs, in time bettering the version they together help create. These are behind what are now known as deepfakes of popular figures floating around online. Barack Obama is seen saying in a purported deepfake, “stay woke bitches”, which of course he did not say.

Another deepfake has Mark Zuckerberg boasting: “I have total control of billions of people’s stolen data, all their secrets, their lives, their futures.” “Deepfakes are media modified by current technology and techniques. Easy availability of technology and media allows anyone to create, tailor or manipulate media for their own ends. Deepfakes present an opportunity for introspection and research into the contours of freedom of expression as well as societal frameworks for dealing with fake content,” explains Hickok.

One of the horrid instances of a deepfake-like attack was the video that surfaced of an Indian woman journalist not so long ago. Or the child-kidnapping rumours that spread through WhatsApp and the subsequent mob lynchings. However, there’s the view that in post-truth times, deepfakes would be seen with caution in the inherent dilemma over believing what one views online.

“In India, people do not take these so seriously, especially on social media. It is mostly entertainment for many. Now, we are seeing people with diametrically opposing views. They often view content which they like to see. It would rather work as a reinforcer of views than a transformer,” feels political analyst Sandeep Shastri.

Open source software can create basic deepfakes if someone wanted to hurt somebody. The potential scale of danger and damage looms larger for influential figures and nations at war.

“While deep fakes can be used to damage societies, it is important that collectively society takes steps to become sensitised to ways that media can be used to manipulate opinions and choices, and allow people to develop skills that build awareness and context to what they see and believe,” adds Hickok.

A video emerged recently of an ‘Iranian’ boat near an attacked oil tanker in the Persian Gulf. Deepfake or not, the authenticity of the video was questionable. If used wily, it could have triggered a war.

According to Hickok, society has to get more resilient to manipulation. “This includes spoken, written, seen as well as heard information. We have to learn to question the basis on which we confirm trust. Multiple forms of verification may help to address spurious media and information,” she says.

Deepfakes are no surprise as social media feed into the small and large divisions and differences of multitudes. Emergence of such potentially dangerous AIs isn’t taken quite seriously by the tech czars. In fact, it is a matter of economy for them.

Oscar Schwartz writes in The Guardian that ‘technological solutionism’ in the ‘attention economy’ may not be the real approach. “And herein lies the problem: by formulating deepfakes as a technological problem, we allow social media platforms to promote technological solutions to those problems – cleverly distracting the public from the idea that there may be more fundamental problems with powerful Silicon Valley tech platforms,” Schwartz warns.

“The measures do not fall on the regulators alone. I think, individuals (by introspection and building awareness), society (through education), the legal system (stringent evidentiary requirements and capacity building) industry (differentiating recreational and prejudicial content, tagging content that is manipulated, etc.) and regulators (enabling accountability, oversight, transparency and redress) can all contribute to a more resilient society,” observes Hickok.

In India, viewing a video is still considered close to truth, almost sacred by the vast majority. Necessarily, it would not require a technologically advanced deepfake, especially in the backward rural pockets, to rile up and aggravate biases and prejudices.

“Deepfakes can further existing biases and manipulate opinions and choices. They can disrupt trust inherent in societal groups to co-exist and politically, they can breed distrust in leadership and capability. That said, deepfakes can be used for humour and satire. Ultimately, the impact will be shaped by a number of factors including pre-existing biases, individual response, etc.,” Hickok elaborates.

On a lighter note, deepfakes could be helpful too. We could very well do away with some of our television news presenters.

For more details visit https://cis-india.org/internet-governance/news/deccan-herald-july-14-2019-rajmohan-sudhakar-deepfakes-algorithms-at-war-trust-at-stake

Emergence of Chinese Technology:Rising stakes for innovation, competition and governance

Admin — 2019-08-19T14:03:21Z

Omidyar Network in partnership with the Esya Centre organized a private discussion on the theme “Emergence of Chinese technology - rising stakes for innovation, competition and governance” on Monday, 12 August 2019 in New Delhi. Arindrajit Basu attended the event.

China Ascendant: Soft Power report by ON focuses on three prongs of power-digital power, fore power and sharp power. Standards have been a major avenue for proliferation of Chinese competition.This is combined with knowledge transfer as 2.8 million Chinese students in the US have largely returned to tech companies in China. Core strength is still not in basic research so by 2020, aiming for 15 per cent of PhD.s to be in basic research. China uses nudges in shaping global governance outcomes by targeting the right stakeholders as opposed to altering the ground rules entirely, Universities in China have focused on how cultural connections can be linked upto negotiating prowess at multilateral fora.

China takes a whole of government approach to technology innovation. Continues to be consumer focused.
China does not look at India as a R+D partner,more as a market.Stability and unpredictability has been an issue.None of India's tech policies were drafted with China in mind.

For more details visit https://cis-india.org/internet-governance/news/emergence-of-chinese-technology-rising-stakes-for-innovation-competition-and-governance

Policy Lab on Artificial Intelligence & Democracy

Admin — 2019-04-12T01:32:32Z

Shweta Mohandas participated in a policy lab on Artificial Intelligence & Democracy in India organised by Tandem Research, in partnership with Microsoft Research and Friedrich-Ebert-Stiftung on 2 & 3 April, 2019, in Bangalore.

For more details visit https://cis-india.org/telecom/news/policy-lab-on-artificial-intelligence-democracy

Banking on artificial intelligence: In hiring drive, Bots are calling the shots now

Anjali Venugopalan — 2019-07-02T05:38:26Z

Algorithms analyse expressions, tone to check for traits such as confidence, anger in video interviews.

The article by Anjali Venugopalan was published in Economic Times on June 4, 2019, Sunil Abraham was quoted. Also mirrored on ET Tech.com.

The future of hiring is already upon us. Algorithms are analysing people’s expressions and tone of voice to check for traits such as “confidence” and “happiness” during video interviews. The robotic video assessment software is then used to hire candidates — customer service operators and assistant vice presidents alike — though the process comes with its own set of problems.

Axis Bank used algorithm-based video interviews — along with aptitude tests — to hire around 2,000 customer service officers from a pool of more than 40,000 applicants this year, said Rajkamal Vempati, HR head of the private sector bank, adding it could standardise and scale up the process of hiring.

HR managers only gave offer letters, he said.

Nirmal Singh, CEO of Wheebox, a division of PeopleStrong which carried out the hiring, said it trained the face-indexing software — sourced from Microsoft — using around 50,000 candidates who had applied to Axis Bank in 2017. The software picked up emotional states such as “nervousness” and “happiness” based on eye movements, expressions and tone of voice and marked the candidates, Singh said. Scores from candidates who were shortlisted were used to come up with the “cutoff ” for these traits. Nirmal Singh, CEO of Wheebox, a division of PeopleStrong which carried out the hiring, said it trained the face-indexing software — sourced from Microsoft — using around50,000 candidates who had applied to Axis Bank in 2017. The software picked up emotional states such as “nervousness” and “happiness” based on eye movements,expressions and tone of voice and marked the candidates, Singh said. Scores from candidates who were shortlisted were used to come up with the “cutoff ” for these traits.

Insurance provider Bajaj Allianz has hired more than 1,600 people, including underwriters and assistant vice presidents, with the help of robotic video assessments that analysed behaviour, said Vikramjeet Singh, chief HR officer, adding it could help reduce human bias. Insurance provider Bajaj Allianz has hired more than 1,600 people, including underwriters and assistant vice presidents, with the help of robotic video assessments that analysedbehaviour, said Vikramjeet Singh, chief HR officer, adding it could help reduce human bias.

Concerns over Software's Biases

Talview, a Palo Alto-headquartered company with operations in Singapore and the United States, provided the assessment for the insurer.

The software, sourced from Microsoft and IBM, can analyse states such as “anger” and “happiness” from expressions, “confidence” from voice tone and traits like “ability to work ina team” and “decisiveness” from text analysis, according to Rajeev Menon, chief product officer, Talview.

Candidates may be able to beat questionnaires by giving expected answers to questions like “Can you work in a team?”, but video assessments pick up on subtleties in expression and vocabulary, and cannot be gamed, Menon said.Be that as it may, Amazon.com scrapped its artificial intelligence-based recruiting system after it found the AI system biased against women, according to an October 2018 report by Reuters.

The AI system was drawing on data from the past, where more men had made it into the company than women.“If you can fool a human, you can fool a computer,” said Sunil Abraham, executive director of Centre for Internet and Society.Recruitment algorithms could “homogenise the emotional economy” by forcing people to act a certain way, he said.

Since the software is based on expressions and tone of voice, it could disadvantage less expressive people, like those who are autistic, said Wheebox’s Singh.

Facial recognition by companies such as IBM, Microsoft and Amazon got the gender of a dark-skinned woman wrong one out of three times (20-35% error rate), a 2018 study by MIT researcher Joy Buolamwini found. For white males, the error was 0.8%.

Video Assessments

Facial recognition has nothing to do with video analytics, Wheebox’s Singh said. The two are, however, closely linked, said Animashree Anandkumar, professor of computing andmathematical science at California Institute of Technology.

She said such software was “deeply problematic”, as it could correlate wrong factors (likegender or skin colour) and show that as the cause for success. It is possible dark-skinned people would be disadvantaged, said Menon of Talview. Thecompany uses facial expression as just one input among many and gives it a low weightage, he said.The software they use is only 39% accurate, and will improve with more data, said and will improve with more data, said Ridhima Gauba, co-founder of Interview Air, a Navi Mumbai-based company that provides a similar service to companies and colleges.

Companies also say video assessments are a risky business.

Bajaj Allianz does not use video assessments for recruitments beyond middle management. It is “important to see a person physically” when hiring for senior positions, said Asha Sharma, manager (corporate HR) of Everest Industries.

The company, however, uses pre-recorded video interviews — where the computer asks questions — to hire juniors from campuses, she said.

For more details visit https://cis-india.org/internet-governance/news/economic-times-anjali-venugopalan-june-4-2019-banking-on-artificial-intelligence

MWC19 Shanghai AI and Trust in APAC and China

Admin — 2019-06-05T07:10:50Z

Sunil Abraham will be making a presentation at the summit on AI and Trust in APAC and China at MWC19 Shanghai on June 27, 2019. Sunil has been invited as a speaker on panel ‘Framing AI for Digital Upstarts’.

MWC Shanghai is a three-day conference and exhibition bringing together over 200 AI business leaders, 65,000 attendees, and 550 companies from across different industries and perspectives to address business and technical concerns in the Intelligent Connectivity era and debate tough problems for today and tomorrow. More info here. For event details see this page.

For more details visit https://cis-india.org/internet-governance/news/mwc19-shanghai-ai-and-trust-in-apac-and-china

AI for Good Workshop

Admin — 2019-06-05T14:47:27Z

Pranav Manjesh Bidare attended a workshop on AI for Good, organised by Swissnex India, and Wadhwani AI in Bangalore on May 22, 2019.

The workshop was a forerunner to the AI for Good Global Summit. More recommendations can be made at https://www.policykitchen.com/group/19/stream

For more details visit https://cis-india.org/internet-governance/news/ai-for-good-workshop

Artificial Intelligence - Literature Review

Shruthi Anand — 2017-12-18T15:12:52Z

With origins dating back to the 1950s Artificial Intelligence (AI) is not necessarily new. However, interest in AI has been rekindled over the last few years, in no small measure due to the rapid advancement of the technology and its applications to real- world scenarios. In order to create policy in the field, understanding the literature regarding existing legal and regulatory parameters is necessary. This Literature Review is the first in a series of reports that seeks to map the development of AI, both generally and in specific sectors, culminating in a stakeholder analysis and contributions to policy-making. This Review analyses literature on the historical development of the technology, its compositional makeup, sector- specific impacts and solutions and finally, overarching regulatory solutions.

Edited by Amber Sinha and Udbhav Tiwari; Research Assistance by Sidharth Ray

With origins dating back to the 1950s Artificial Intelligence (AI) is not necessarily new. With an increasing number of real-world implications over the last few years, however, interest in AI has been reignited over the last few years.

The rapid and dynamic pace of development of AI have made it difficult to predict its future path and is enabling it to alter our world in ways we have yet to comprehend. This has resulted in law and policy having stayed one step behind the development of the technology.

Understanding and analyzing existing literature on AI is a necessary precursor to subsequently recommending policy on the matter. By examining academic articles, policy papers, news articles, and position papers from across the globe, this literature review aims to provide an overview of AI from multiple perspectives.

The structure taken by the literature review is as follows:

Overview of historical development
Definitional and compositional analysis
Ethical & Social, Legal, Economic and Political impact and sector-specific solutions
The regulatory way forward

This literature review is a first step in understanding the existing paradigms and debates around AI before narrowing the focus to more specific applications and subsequently, policy-recommendations.

Download the full literature review

For more details visit https://cis-india.org/internet-governance/blog/artificial-intelligence-literature-review

A.I. Hype Cycles and Artistic Subversions

sharath — 2016-01-01T07:52:20Z

Gene Kogan will give a talk on "A.I. hype cycles and artistic subversions" on Friday, January 22, 2016 at the Centre for Internet and Society office, 6 pm - 8 pm.

Mona Lisa restyled by Egyptian hieroglyphs, the Crab Nebula, and Google Maps. Style Transfer. Gene Kogan.

Recent years have seen a resurgence of popular interest in machine learning and artificial intelligence, as emerging methods have set new scientific benchmarks and introduced classes of neural networks capable of imitating human behavior, among other impressive feats. More importantly, the study of these algorithms is rapidly crossing over into mainstream culture and industry as AI applications begin to inhabit more of our daily lives. Numerous initiatives have appeared, attempting to demystify and make these previously obscure research tracks more accessible to the public. Open source software like Torch, Theano, and TensorFlow have equipped amateurs with the same software which is achieving state-of-the-art results in industry and academia.

This talk will examine the most recent wave of artistic projects applying these methods in various cultural contexts, producing troves of machine-hallucinated text, images, sounds, and videos, demonstrating a previously unseen capacity for imitating human style and sensibility. These experimental works attempt to show the capacity of these machines for producing aesthetically meaningful media, yet challenging and subverting them to illuminate their most obscure and counterintuitive properties.

A recent article by the speaker about this: From Pixels to Paragraphs: How artistic experiments with deep learning guard us from hype.

Relevant projects by the speaker that will be presented include: Style Transfer, A Book from the Sky 天书, Learning to Generate Text and Audio, and Deepdream Prototypes.

Gene Kogan

Gene Kogan is an artist and programmer who is interested in generative systems and applications of emerging technology in artistic and expressive contexts. He writes code for live music, performance, and visual art. He contributes to numerous open-source software projects and frequently gives workshops and demonstrations on topics related to code and art.

He is a contributor to openFrameworks, Processing, and p5.js, an adjunct professor at Bennington College and NYU, a former resident at Eyebeam Art & Technology Center, and a former Fulbright scholar in Bangalore, India, 2012-2013.

For more details visit https://cis-india.org/raw/ai-hype-cycles-and-artistic-subversions