Reflecting opportunities and risks AI ethics and its broad range of - PowerPoint PPT Presentation

Reflecting opportunities and risks – AI ethics and its broad range of issues Dr. Thilo Hagendorff University of Tuebingen Cluster of Excellence Machine Learning

Dimensions of AI ethics events distance t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics distance events t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance irritation t orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance orientation t irritation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Dimensions of AI ethics events distance t irritation orientation Collingridge dilemma point of ethical reflection proximity most effective

Demands for AI/ML Ethics Google Trend for "AI ethics" 100 % 50 % 2013 2014 2015 2016 2017 2018 10

Guidelines • Hagendorff, Thilo (2019): The Ethics of AI Ethics. An Evaluation of Guidelines. in: arXiv:1903.03425v1, pp. 1 – 15.

Guidelines The European Commission's High-Level Principles for Accountable Algorithms Montréal Declaration for Responsible Expert Group on Artificial Intelligence Development of Artificial Intelligence Autonomous and Intelligent Systems Ethically Aligned Design: A Vision for Prioritizing Human Well-being with and a Social Impact Statement for Artificial Intelligence at Google The Malicious Use of Artificial Everyday Ethics for Artificial The Asilomar AI Principles Microsoft AI principles ITI AI Policy Principles AI Now 2016 Report AI Now 2017 Report AI Now 2018 Report Partnership on AI number of mentions Intelligence Intelligence Algorithms AI4People privacy protection 14 x x x x x x x x x x x x x x accountability 13 x x x x x x x x x x x x x fairness, non-discrimination, justice 13 x x x x x x x x x x x x x transparency, openness 10 x x x x x x x x x x safety, cybersecurity 10 x x x x x x x x x x common good, sustainability 9 x x x x x x x x x explainability, interpretabiliy 8 x x x x x x x x human oversight, control, auditing 8 x x x x x x x x dual-use problem, military, AI arms race 6 x x x x x x solidarity, inclusion, social cohesion 6 x x x x x x science-policy link 5 x x x x x field-specific deliberations (health, military, mobility etc.) 5 x x x x x diversity in the field of AI 5 x x x x x public awareness, education about AI and its risks 5 x x x x x future of employment 4 x x x x human autonomy 4 x x x x protection of whistleblowers 1 x hidden costs (labeling, clickwork, material resources etc.) 1 x affiliation (government, industry, science) government science science science science science science science science industry industry industry industry industry industry 8 7 11 11 11 9 11 5 11 10 8 6 6 5 8 number of ethical aspects

Guidelines The European Commission's High-Level Expert Group on Artificial Intelligence Principles for Accountable Algorithms Development of Artificial Intelligence Montréal Declaration for Responsible Autonomous and Intelligent Systems Ethically Aligned Design: A Vision for Prioritizing Human Well-being with and a Social Impact Statement for Artificial Intelligence at Google The Malicious Use of Artificial Everyday Ethics for Artificial The Asilomar AI Principles Microsoft AI principles ITI AI Policy Principles AI Now 2016 Report AI Now 2017 Report AI Now 2018 Report Partnership on AI number of mentions Intelligence Algorithms Intelligence AI4People privacy protection 14 x x x x x x x x x x x x x x accountability 13 x x x x x x x x x x x x x fairness, non-discrimination, justice 13 x x x x x x x x x x x x x transparency, openness 10 x x x x x x x x x x safety, cybersecurity 10 x x x x x x x x x x common good, sustainability 9 x x x x x x x x x explainability, interpretabiliy 8 x x x x x x x x human oversight, control, auditing 8 x x x x x x x x dual-use problem, military, AI arms race 6 x x x x x x solidarity, inclusion, social cohesion 6 x x x x x x science-policy link 5 x x x x x field-specific deliberations (health, military, mobility etc.) 5 x x x x x diversity in the field of AI 5 x x x x x public awareness, education about AI and its risks 5 x x x x x future of employment 4 x x x x human autonomy 4 x x x x protection of whistleblowers 1 x hidden costs (labeling, clickwork, material resources etc.) 1 x affiliation (government, industry, science) government science science science science science science science science industry industry industry industry industry industry 8 7 11 11 11 9 11 5 11 10 8 6 6 5 8 number of ethical aspects

Guidelines The European Commission's High-Level Expert Group on Artificial Intelligence Principles for Accountable Algorithms Development of Artificial Intelligence Montréal Declaration for Responsible Autonomous and Intelligent Systems Ethically Aligned Design: A Vision for Prioritizing Human Well-being with and a Social Impact Statement for Artificial Intelligence at Google The Malicious Use of Artificial Everyday Ethics for Artificial The Asilomar AI Principles Microsoft AI principles ITI AI Policy Principles AI Now 2016 Report AI Now 2017 Report AI Now 2018 Report Partnership on AI number of mentions Intelligence Intelligence Algorithms AI4People privacy protection 14 x x x x x x x x x x x x x x accountability 13 x x x x x x x x x x x x x fairness, non-discrimination, justice 13 x x x x x x x x x x x x x transparency, openness 10 x x x x x x x x x x safety, cybersecurity 10 x x x x x x x x x x common good, sustainability 9 x x x x x x x x x explainability, interpretabiliy 8 x x x x x x x x human oversight, control, auditing 8 x x x x x x x x dual-use problem, military, AI arms race 6 x x x x x x solidarity, inclusion, social cohesion 6 x x x x x x science-policy link 5 x x x x x field-specific deliberations (health, military, mobility etc.) 5 x x x x x diversity in the field of AI 5 x x x x x public awareness, education about AI and its risks 5 x x x x x future of employment 4 x x x x human autonomy 4 x x x x protection of whistleblowers 1 x hidden costs (labeling, clickwork, material resources etc.) 1 x government science science science science science science science science industry industry industry industry industry industry affiliation (government, industry, science) 8 7 11 11 11 9 11 5 11 10 8 6 6 5 8 number of ethical aspects

Guidelines The European Commission's High-Level Expert Group on Artificial Intelligence Principles for Accountable Algorithms Development of Artificial Intelligence Montréal Declaration for Responsible Autonomous and Intelligent Systems Ethically Aligned Design: A Vision for Prioritizing Human Well-being with and a Social Impact Statement for Artificial Intelligence at Google The Malicious Use of Artificial Everyday Ethics for Artificial The Asilomar AI Principles Microsoft AI principles ITI AI Policy Principles AI Now 2016 Report AI Now 2017 Report AI Now 2018 Report Partnership on AI number of mentions Intelligence Algorithms Intelligence AI4People privacy protection 14 x x x x x x x x x x x x x x accountability 13 x x x x x x x x x x x x x fairness, non-discrimination, justice 13 x x x x x x x x x x x x x transparency, openness 10 x x x x x x x x x x safety, cybersecurity 10 x x x x x x x x x x common good, sustainability 9 x x x x x x x x x explainability, interpretabiliy 8 x x x x x x x x human oversight, control, auditing 8 x x x x x x x x dual-use problem, military, AI arms race 6 x x x x x x solidarity, inclusion, social cohesion 6 x x x x x x science-policy link 5 x x x x x field-specific deliberations (health, military, mobility etc.) 5 x x x x x diversity in the field of AI 5 x x x x x public awareness, education about AI and its risks 5 x x x x x future of employment 4 x x x x human autonomy 4 x x x x protection of whistleblowers 1 x hidden costs (labeling, clickwork, material resources etc.) 1 x affiliation (government, industry, science) government science science science science science science science science industry industry industry industry industry industry 8 7 11 11 11 9 11 5 11 10 8 6 6 5 8 number of ethical aspects

Privacy (14/15) • personality analysis, image recognition, disease prediction etc.

Accountability (13/15) • who can be held legally responsible? • AI systems as “e - persons”