Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. This episode we talk with Mitchel Ondili on algorithm awareness, technology colonisation in the global south, the Observatory of Algorithms with Social Impact (OASI) and submitting your algorithms there, AI auditing, private vs public rights to consent, hiring and social services algorithms, the over-datafication of life, becoming an algorithmic subject, intentionality of services and much more. Mitchel Ondili is a lawyer and tech policy professional, and recognized as a Women Deliver Young Leader, a New Emerging openAIR researcher and a member of the Feminist AI research network. Her primary areas of interest are the impact of internet communications on democratic practices, open data, artificial intelligence, and the public digital sphere. At Eticas, Mitchel leads the Observatory of Algorithms with Social Impact (OASI) and provides support to different projects looking at AI bias and discrimination, with a focus on gender.

Artificial intelligence (AI) is the field of study focused on creating intelligent machines. Within AI, machine learning (ML) is a subfield that focuses on the ability of machines to learn and adapt based on data input, without requiring explicit programming. In recent years, there has been a growing interest in applying AI to various industries and sectors, as it has the ability to process and analyze large amounts of data quickly and accurately. Following up on my article on AI for Social good- Part 1, I decided to write a part 2. This article will discuss mainly ESG and mental illness to explore the role of Natural Language Processing in Enhancing ESG Practices and Assessing Mental Illness. One area where AI can be particularly impactful is in the field of environmental, social, and governance (ESG) [1] initiatives.

The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the field's ever-changing developments. Through research and article summaries, as well as expert commentary, this report distills the research and reporting surrounding various domains related to the ethics of AI, including: algorithmic injustice, discrimination, ethical AI, labor impacts, misinformation, privacy, risk and security, social media, and more. In addition, The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments. Unique to this report is "The Abuse and Misogynoir Playbook," written by Dr. Katlyn Tuner (Research Scientist, Space Enabled Research Group, MIT), Dr. Danielle Wood (Assistant Professor, Program in Media Arts and Sciences; Assistant Professor, Aeronautics and Astronautics; Lead, Space Enabled Research Group, MIT) and Dr. Catherine D'Ignazio (Assistant Professor, Urban Science and Planning; Director, Data + Feminism Lab, MIT). The piece (and accompanying infographic), is a deep-dive into the historical and systematic silencing, erasure, and revision of Black women's contributions to knowledge and scholarship in the United Stations, and globally. Exposing and countering this Playbook has become increasingly important following the firing of AI Ethics expert Dr. Timnit Gebru (and several of her supporters) at Google. This report should be used not only as a point of reference and insight on the latest thinking in the field of AI Ethics, but should also be used as a tool for introspection as we aim to foster a more nuanced conversation regarding the impacts of AI on the world.

Artificial intelligence is already impacting our lives. And the use of AI for social functioning is on an all-time high. Be it getting riding directions through our smartphone or getting daily reminders by using our health system to extend our workouts; all these are manifestations of how artificial talent is altering the way we function. What is often much less understood is the vast function synthetic brain can play in the social sector. The Artificial Intelligence for social good can probably assist in solving some of the country's most pressing problems. As a count number of facts, it can contribute in some way or every other to tackling and addressing all of the United Nation's Sustainable Development Goals, supporting large sections of the populace in both growing and developed countries. AI is already helping in several real-life situations, from assisting blind humans in navigating and diagnosing cancer to identify sexual harassment victims and helping with catastrophe relief. Let us take a look briefly at integral social domains where AI can be carried out effectively.

What happens when the Fourth Industrial Revolution collides with the need and desire to improve the state of the world? To be more specific: What impact will artificial intelligence (AI) have on the social sector? The answer depends on the reply to a bigger, deeper question: What ultimately does AI need to solve? The social sector may be defined as an ecosystem where resources are shared for the purpose of helping others rather than only for the benefit or profit of one person or a group. Actors in the sector are expected to ensure that people create and share resources equitably or fairly to the broadest extent possible.

Artificial intelligence is already impacting our lives in a major way. Be it getting driving instructions through our smartphone or getting daily reminders by our fitness device to increase our workouts, all these are manifestations of how artificial intelligence is changing the way we function. What is often less understood is the significant role artificial intelligence can play in the social sector. Artificial intelligence can potentially help solve some of the country's most pressing problems. As a matter of fact, it can contribute in some way or another to tackling all of the United Nation's Sustainable Development Goals, helping large sections of the population in both developing and developed countries.

At some point in the coming decades, experts predict we'll reach the "technological singularity" -- the point at which artificial intelligence abruptly triggers runaway technological growth, resulting in unfathomable changes to human civilization. A technological singularity could take us down a range of possible scenarios for humanity, from the harrowing enslavement or extinction of our species to the exhilarating possibility of becoming an incalculably more powerful and omniscient species, perhaps even conquering mortality itself.

Artificial intelligence (AI) is the 21st century space race where India lags far behind leaders like China and the US. However, there is one area where the country, with second largest number of poor, can lead the world. It can use AI to solve problems for the underserved billions. That's exactly what Wadhwani Institute of AI does. Launched last February by prime minister Narendra Modi, backed by NRI entrepreneurs (Rs 200 crore grant) - Wadhwani brothers Sunil and Romesh – WIAI is using AI to serve the bottom of the pyramid.

The size of the AI sector in India is difficult to determine, given that a lot of AI applications are in intermediary phases of production. Globally, one popular means of measuring the size of AI sectors is by adding up private sector investment in AI start-ups. According to one estimate, total AI funding worldwide has increased from $862 million in 2012 to $6.4 billion in 2017.1 The Indian AI sector, too, has seen growth in this period, with a total of $150 million invested in more than 400 companies over the past five years.2 Most of these investments have come in the last two years, when investment nearly doubled from $44 million in 2016 to $77 million in 2017.3 In India, too, the government is spearheading investments in AI and other emerging technologies. In the latest budget, the government set aside $480 million for investment into emerging technologies including AI. This commitment could help put India on the map, as this outlay compares favorably to those of Australia, Canada, and the European Union.5

We present three case studies of organizations using a data science competition to answer a pressing question. The first is in education where a nonprofit that creates smart school budgets wanted to automatically tag budget line items. The second is in public health, where a low-cost, nonprofit women's health care provider wanted to understand the effect of demographic and behavioral questions on predicting which services a woman would need. The third and final example is in government innovation: using online restaurant reviews from Yelp, competitors built models to forecast which restaurants were most likely to have hygiene violations when visited by health inspectors. Finally, we reflect on the unique benefits of the open, public competition model.